Journal of Chemistry Impact Factor 2024-2025 - ResearchHelpDesk - Journal of Chemistry is a peer-reviewed, Open Access journal that publishes original research articles as well as review articles on all aspects of fundamental and applied chemistry. Journal of Chemistry is archived in Portico, which provides permanent archiving for electronic scholarly journals, as well as via the LOCKSS initiative. It operates a fully open access publishing model which allows open global access to its published content. This model is supported through Article Processing Charges. Journal of Chemistry is included in many leading abstracting and indexing databases. For a complete list, click here. The most recent Impact Factor for Journal of Chemistry is 1.727 according to the 2018 Journal Citation Reports released by Clarivate Analytics in 2019. The journal’s most recent CiteScore is 1.32 according to the CiteScore 2018 metrics released by Scopus. Abstracting and Indexing Academic Search Alumni Edition Academic Search Complete AgBiotech Net AgBiotech News and Information AGRICOLA Agricultural Economics Database Agricultural Engineering Abstracts Agroforestry Abstracts Animal Breeding Abstracts Animal Science Database Biofuels Abstracts Botanical Pesticides CAB Abstracts Chemical Abstracts Service (CAS) CNKI Scholar Crop Physiology Abstracts Crop Science Database Directory of Open Access Journals (DOAJ) EBSCOhost Connection EBSCOhost Research Databases Elsevier BIOBASE - Current Awareness in Biological Sciences (CABS) EMBIOlogy Energy and Power Source Global Health Google Scholar J-Gate Portal Journal Citation Reports - Science Edition Open Access Journals Integrated Service System Project (GoOA) Primo Central Index Reaxys Science Citation Index Expanded Scopus Textile Technology Index The Summon Service WorldCat Discovery Services

Journal of Ophthalmology Impact Factor 2024-2025 - ResearchHelpDesk - Journal of Ophthalmology is a peer-reviewed, Open Access journal that publishes original research, review, and clinical studies related to the anatomy, physiology and diseases of the eye. Submissions should focus on focusing on new diagnostic and surgical techniques, instrument and therapy updates, as well as clinical trials and research findings. Journal of Ophthalmology is archived in Portico, which provides permanent archiving for electronic scholarly journals, as well as via the LOCKSS initiative. It operates a fully open access publishing model which allows open global access to its published content. This model is supported through Article Processing Charges. The most recent Impact Factor for Journal of Ophthalmology is 1.580 according to the 2018 Journal Citation Reports released by Clarivate Analytics in 2019. The journal’s most recent CiteScore is 1.78 according to the CiteScore 2018 metrics released by Scopus. Journal of Ophthalmology is included in many leading abstracting and indexing databases. Academic OneFile Academic Search Alumni Edition Academic Search Complete Airiti Library Biological Sciences Chemical Abstracts Service (CAS) CINAHL Plus with Full Text CNKI Scholar Directory of Open Access Journals (DOAJ) EBSCO Discovery Service EBSCOhost Connection EBSCOhost Research Databases Expanded Academic ASAP Expanded Academic Index Google Scholar Health and Wellness Resource Center Health Reference Center Academic HINARI Access to Research in Health Programme InfoTrac Custom journals J-Gate Portal Journal Citation Reports - Science Edition Open Access Journals Integrated Service System Project (GoOA) Primo Central Index PubMed PubMed Central SafetyLit Science Citation Index Expanded Scopus The Summon Service WorldCat Discovery Services

Research data to accommodate the article "Overlay journals: a study of the current landscape" (https://doi.org/10.1177/09610006221125208)

Identifying the sample of overlay journals was an explorative process (occurring during April 2021 to February 2022). The sample of investigated overlay journals were identified by using the websites of Episciences.org (2021), Scholastica (2021), Free Journal Network (2021), Open Journals (2021), PubPub (2022), and Wikipedia (2021). In total, this study identified 34 overlay journals. Please see the paper for more details about the excluded journal types.

The journal ISSN numbers, manuscript source repositories, first overlay volumes, article volumes, publication languages, peer-review type, licence for published articles, author costs, publisher types, submission policy, and preprint availability policy were observed by inspecting journal editorial policies and submission guidelines found from journal websites. The overlay journals’ ISSN numbers were identified by examining journal websites and cross-checking this information with the Ulrich’s periodicals database (Ulrichsweb, 2021). Journals that published review reports, either with reviewers’ names or anonymously, were classified as operating with open peer-review. Publisher types defined by Laakso and Björk (2013) were used to categorise the findings concerning the publishers. If the journal website did not include publisher information, the editorial board was interpreted to publish the journal.

The Organisation for Economic Co-operation and Development (OECD) field of science classification was used to categorise the journals into different domains of science. The journals’ primary OECD field of sciences were defined by the authors through examining the journal websites.

Whether the journals were indexed in the Directory of Open Access Journals (DOAJ), Scopus, or Clarivate Analytics’ Web of Science Core collection’s journal master list was examined by searching the services with journal ISSN numbers and journal titles.

The identified overlay journals were examined from the viewpoint of both qualitative and quantitative journal metrics. The qualitative metrics comprised the Nordic expert panel rankings of scientific journals, namely the Finnish Publication Forum, the Danish Bibliometric Research Indicator and the Norwegian Register for Scientific Journals, Series and Publishers. Searches were conducted from the web portals of the above services with both ISSN numbers and journal titles. Clarivate Analytics’ Journal Citation Reports database was searched with the use of both ISSN numbers and journal titles to identify whether the journals had a Journal Citation Indicator (JCI), Two-Year Impact Factor (IF) and an Impact Factor ranking (IF rank). The examined Journal Impact Factors and Impact Factor rankings were for the year 2020 (as released in 2021).

The journals’ author guidelines and/or editorial policies were examined on whether they take a stance with regard to the availability of the underlying data of the submitted article. The mere explicated possibility of providing supplementary material along with the submitted article was not considered as a research data policy in the present study. Furthermore, the present article excluded source codes or algorithms from the scope of the paper and thus policies related to them are not included in the analysis of the present article.

For selection of journals within the field of neurosciences, Clarivate Analytics’ InCites Journal Citation Reports database was searched using categories of neurosciences and neuroimaging. From the results, journals with the 40 highest Impact Factor (for the year 2017) indicators were extracted for scrutiny of research data policies. Respectively, the selection journals within the field of physics was created by performing a similar search with the categories of physics, applied; physics, atomic, molecular & chemical; physics, condensed matter; physics, fluids & plasmas; physics, mathematical; physics, multidisciplinary; physics, nuclear and physics, particles & fields. From the results, journals with the 40 highest Impact Factor indicators were again extracted for scrutiny. Similarly, the 40 journals representing the field of operations research were extracted by using the search category of operations research and management.

Journal-specific data policies were sought from journal specific websites providing journal specific author guidelines or editorial policies. Within the present study, the examination of journal data policies was done in May 2019. The primary data source was journal-specific author guidelines. If journal guidelines explicitly linked to the publisher’s general policy with regard to research data, these were used in the analyses of the present article. If journal-specific research data policy, or lack of, was inconsistent with the publisher’s general policies, the journal-specific policies and guidelines were prioritized and used in the present article’s data. If journals’ author guidelines were not openly available online due to, e.g., accepting submissions on an invite-only basis, the journal was not included in the data of the present article. Also journals that exclusively publish review articles were excluded and replaced with the journal having the next highest Impact Factor indicator so that each set representing the three field of sciences consisted of 40 journals. The final data thus consisted of 120 journals in total.

‘Public deposition’ refers to a scenario where researcher deposits data to a public repository and thus gives the administrative role of the data to the receiving repository. ‘Scientific sharing’ refers to a scenario where researcher administers his or her data locally and by request provides it to interested reader. Note that none of the journals examined in the present article required that all data types underlying a submitted work should be deposited into a public data repositories. However, some journals required public deposition of data of specific types. Within the journal research data policies examined in the present article, these data types are well presented by the Springer Nature policy on “Availability of data, materials, code and protocols” (Springer Nature, 2018), that is, DNA and RNA data; protein sequences and DNA and RNA sequencing data; genetic polymorphisms data; linked phenotype and genotype data; gene expression microarray data; proteomics data; macromolecular structures and crystallographic data for small molecules. Furthermore, the registration of clinical trials in a public repository was also considered as a data type in this study. The term specific data types used in the custom coding framework of the present study thus refers to both life sciences data and public registration of clinical trials. These data types have community-endorsed public repositories where deposition was most often mandated within the journals’ research data policies.

The term ‘location’ refers to whether the journal’s data policy provides suggestions or requirements for the repositories or services used to share the underlying data of the submitted works. A mere general reference to ‘public repositories’ was not considered a location suggestion, but only references to individual repositories and services. The category of ‘immediate release of data’ examines whether the journals’ research data policy addresses the timing of publication of the underlying data of submitted works. Note that even though the journals may only encourage public deposition of the data, the editorial processes could be set up so that it leads to either publication of the research data or the research data metadata in conjunction to publishing of the submitted work.

Self-citation analysis data based on PubMed Central subset (2002-2005) ---------------------------------------------------------------------- Created by Shubhanshu Mishra, Brent D. Fegley, Jana Diesner, and Vetle Torvik on April 5th, 2018 ## Introduction This is a dataset created as part of the publication titled: Mishra S, Fegley BD, Diesner J, Torvik VI (2018) Self-Citation is the Hallmark of Productive Authors, of Any Gender. PLOS ONE. It contains files for running the self citation analysis on articles published in PubMed Central between 2002 and 2005, collected in 2015. The dataset is distributed in the form of the following tab separated text files: * Training_data_2002_2005_pmc_pair_First.txt (1.2G) - Data for first authors * Training_data_2002_2005_pmc_pair_Last.txt (1.2G) - Data for last authors * Training_data_2002_2005_pmc_pair_Middle_2nd.txt (964M) - Data for middle 2nd authors * Training_data_2002_2005_pmc_pair_txt.header.txt - Header for the data * COLUMNS_DESC.txt file - Descriptions of all columns * model_text_files.tar.gz - Text files containing model coefficients and scores for model selection. * results_all_model.tar.gz - Model coefficient and result files in numpy format used for plotting purposes. v4.reviewer contains models for analysis done after reviewer comments. * README.txt file ## Dataset creation Our experiments relied on data from multiple sources including properitery data from Thompson Rueter's (now Clarivate Analytics) Web of Science collection of MEDLINE citations. Author's interested in reproducing our experiments should personally request from Clarivate Analytics for this data. However, we do make a similar but open dataset based on citations from PubMed Central which can be utilized to get similar results to those reported in our analysis. Furthermore, we have also freely shared our datasets which can be used along with the citation datasets from Clarivate Analytics, to re-create the datased used in our experiments. These datasets are listed below. If you wish to use any of those datasets please make sure you cite both the dataset as well as the paper introducing the dataset. * MEDLINE 2015 baseline: https://www.nlm.nih.gov/bsd/licensee/2015_stats/baseline_doc.html * Citation data from PubMed Central (original paper includes additional citations from Web of Science) * Author-ity 2009 dataset: - Dataset citation: Torvik, Vetle I.; Smalheiser, Neil R. (2018): Author-ity 2009 - PubMed author name disambiguated dataset. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4222651_V1 - Paper citation: Torvik, V. I., & Smalheiser, N. R. (2009). Author name disambiguation in MEDLINE. ACM Transactions on Knowledge Discovery from Data, 3(3), 1–29. https://doi.org/10.1145/1552303.1552304 - Paper citation: Torvik, V. I., Weeber, M., Swanson, D. R., & Smalheiser, N. R. (2004). A probabilistic similarity metric for Medline records: A model for author name disambiguation. Journal of the American Society for Information Science and Technology, 56(2), 140–158. https://doi.org/10.1002/asi.20105 * Genni 2.0 + Ethnea for identifying author gender and ethnicity: - Dataset citation: Torvik, Vetle (2018): Genni + Ethnea for the Author-ity 2009 dataset. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9087546_V1 - Paper citation: Smith, B. N., Singh, M., & Torvik, V. I. (2013). A search engine approach to estimating temporal changes in gender orientation of first names. In Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries - JCDL ’13. ACM Press. https://doi.org/10.1145/2467696.2467720 - Paper citation: Torvik VI, Agarwal S. Ethnea -- an instance-based ethnicity classifier based on geo-coded author names in a large-scale bibliographic database. International Symposium on Science of Science March 22-23, 2016 - Library of Congress, Washington DC, USA. http://hdl.handle.net/2142/88927 * MapAffil for identifying article country of affiliation: - Dataset citation: Torvik, Vetle I. (2018): MapAffil 2016 dataset -- PubMed author affiliations mapped to cities and their geocodes worldwide. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4354331_V1 - Paper citation: Torvik VI. MapAffil: A Bibliographic Tool for Mapping Author Affiliation Strings to Cities and Their Geocodes Worldwide. D-Lib magazine : the magazine of the Digital Library Forum. 2015;21(11-12):10.1045/november2015-torvik * IMPLICIT journal similarity: - Dataset citation: Torvik, Vetle (2018): Author-implicit journal, MeSH, title-word, and affiliation-word pairs based on Author-ity 2009. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4742014_V1 * Novelty dataset for identify article level novelty: - Dataset citation: Mishra, Shubhanshu; Torvik, Vetle I. (2018): Conceptual novelty scores for PubMed articles. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-5060298_V1 - Paper citation: Mishra S, Torvik VI. Quantifying Conceptual Novelty in the Biomedical Literature. D-Lib magazine : The Magazine of the Digital Library Forum. 2016;22(9-10):10.1045/september2016-mishra - Code: https://github.com/napsternxg/Novelty * Expertise dataset for identifying author expertise on articles: * Source code provided at: https://github.com/napsternxg/PubMed_SelfCitationAnalysis Note: The dataset is based on a snapshot of PubMed (which includes Medline and PubMed-not-Medline records) taken in the first week of October, 2016. Check here for information to get PubMed/MEDLINE, and NLMs data Terms and Conditions Additional data related updates can be found at Torvik Research Group ## Acknowledgments This work was made possible in part with funding to VIT from NIH grant P01AG039347 and NSF grant 1348742. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. ## License Self-citation analysis data based on PubMed Central subset (2002-2005) by Shubhanshu Mishra, Brent D. Fegley, Jana Diesner, and Vetle Torvik is licensed under a Creative Commons Attribution 4.0 International License. Permissions beyond the scope of this license may be available at https://github.com/napsternxg/PubMed_SelfCitationAnalysis.

Journal of Chemistry Acceptance Rate - ResearchHelpDesk - Journal of Chemistry is a peer-reviewed, Open Access journal that publishes original research articles as well as review articles on all aspects of fundamental and applied chemistry. Journal of Chemistry is archived in Portico, which provides permanent archiving for electronic scholarly journals, as well as via the LOCKSS initiative. It operates a fully open access publishing model which allows open global access to its published content. This model is supported through Article Processing Charges. Journal of Chemistry is included in many leading abstracting and indexing databases. For a complete list, click here. The most recent Impact Factor for Journal of Chemistry is 1.727 according to the 2018 Journal Citation Reports released by Clarivate Analytics in 2019. The journal’s most recent CiteScore is 1.32 according to the CiteScore 2018 metrics released by Scopus. Abstracting and Indexing Academic Search Alumni Edition Academic Search Complete AgBiotech Net AgBiotech News and Information AGRICOLA Agricultural Economics Database Agricultural Engineering Abstracts Agroforestry Abstracts Animal Breeding Abstracts Animal Science Database Biofuels Abstracts Botanical Pesticides CAB Abstracts Chemical Abstracts Service (CAS) CNKI Scholar Crop Physiology Abstracts Crop Science Database Directory of Open Access Journals (DOAJ) EBSCOhost Connection EBSCOhost Research Databases Elsevier BIOBASE - Current Awareness in Biological Sciences (CABS) EMBIOlogy Energy and Power Source Global Health Google Scholar J-Gate Portal Journal Citation Reports - Science Edition Open Access Journals Integrated Service System Project (GoOA) Primo Central Index Reaxys Science Citation Index Expanded Scopus Textile Technology Index The Summon Service WorldCat Discovery Services

Journal of Mind and Medical Sciences Impact Factor 2024-2025 - ResearchHelpDesk - Journal of Mind and Medical Sciences (JMMS, J Mind Med Sci) pays special attention to papers related to mental and medical topics, focusing primarily on interdisciplinary and integrative perspectives. It is an online and open-access journal, no charges being received for submission, review, and publication of articles. The journal adheres to the philosophy that high quality and original ideas and information should be freely shared within and amongst the scientific community, with the stipulation that the authors be acknowledged for their knowledge and contribution. J Mind Med Sci. is licensed under a CC BY-NC-ND 4.0 License. The journal is conducted by international norms of academic publishing, being listed by the International Committee of Medical Journal Editors (ICMJE), adhere to the most important and comprehensive ethical guidelines of COPE, it is a member of CrossRef and indexed by several International Databases. Authors are encouraged to supply the names of two potential referees, and/or of referees that they do not wish to review their paper. The decision regarding the selection process of the reviewers belongs to Editor(s). Our referees have the opportunity to be recognized as reviewers for their contributions, due to the fact that the Journal of Mind and Medical Sciences is a member of Publons (part of Clarivate Analytics). Journal of Mind and Medical Sciences is currently indexed in the following international databases: Web of Science WorldWideScience World Health Organization (Hinari/ Health Inter-Network Access to Research Initiative) Microsoft Academic Search EBSCO DOAJ Index Copernicus Cabell`s Whitelist Ulrich's Periodicals Directory SHERPA/ RoMEO OAJI J-Gate DRJI SCIPIO OpenAIRE (Horizon 2020) ClavisBCT Gale/ Cengage Learning Medicine and Health Sciences Commons Google Scholar WorldCat J Mind Med Sci. can also be accessed via prestigious medical universities, like: Harvard Library Yale University Library Oxford University Libraries Stanford University Libraries Boston University Libraries The British Library COPAC (Cambridge, Glasgow, Imperial College, Liverpool, Manchester, Sheffield, York, Southampton Universities) Berlin Social Science Center The Saskatoon Public Library BASE (Bielefeld Academic Search Engine) Nelson Mandela Metropolitan University Social Services Knowledge Scotland elibrary, etc.

Australian and New Zealand journal of statistics Impact Factor 2024-2025 - ResearchHelpDesk - The Australian & New Zealand Journal of Statistics is an international journal managed jointly by the Statistical Society of Australia and the New Zealand Statistical Association. Its purpose is to report significant and novel contributions in statistics, ranging across articles on statistical theory, methodology, applications and computing. The journal has a particular focus on statistical techniques that can be readily applied to real-world problems, and on application papers with an Australasian emphasis. Outstanding articles submitted to the journal may be selected as Discussion Papers, to be read at a meeting of either the Statistical Society of Australia or the New Zealand Statistical Association. The main body of the journal is divided into three sections. The Theory and Methods Section publishes papers containing original contributions to the theory and methodology of statistics, econometrics and probability, and seeks papers motivated by a real problem and which demonstrate the proposed theory or methodology in that situation. There is a strong preference for papers motivated by, and illustrated with, real data. The Applications Section publishes papers demonstrating applications of statistical techniques to problems faced by users of statistics in the sciences, government and industry. A particular focus is the application of newly developed statistical methodology to real data and the demonstration of better use of established statistical methodology in an area of application. It seeks to aid teachers of statistics by placing statistical methods in context. The Statistical Computing Section publishes papers containing new algorithms, code snippets, or software descriptions (for open source software only) which enhance the field through the application of computing. Preference is given to papers featuring publically available code and/or data, and to those motivated by statistical methods for practical problems. In addition, suitable review papers and articles of historical and general interest will be considered. The journal also publishes book reviews on a regular basis. Abstracting and Indexing Information Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Academic Search Elite (EBSCO Publishing) Academic Search Premier (EBSCO Publishing) CompuMath Citation Index (Clarivate Analytics) Current Index to Statistics (ASA/IMS) Journal Citation Reports/Science Edition (Clarivate Analytics) Mathematical Reviews/MathSciNet/Current Mathematical Publications (AMS) RePEc: Research Papers in Economics Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier) Statistical Theory & Method Abstracts (Zentralblatt MATH) ZBMATH (Zentralblatt MATH)

This dataset include 514 scientific papers, which were used to review the litterature on impact modelling of agricultural landscapes. This study was published in Environmental Modelling and Software [Hossard, L., Chopin, P., in press. Modelling agricultural changes and impacts at landscape scale: A bibliometric review, Environmental Modelling and Software]. The literature search was conducted in April 2017 and involved entering keywords in the Clarivate Analytics’ Web of Science without a time frame limitation. The search was limited to the “Article” document type and to the “English” language. For “Topics”, the following search equation was used: “model* AND (agri* or agro* or crop* or farm*) AND (landscape* OR watershed* OR (water NEAR catchment*)) AND (scenar* OR alternative*)”. This initial search yielded 1,975 hits. We then excluded papers based on article abstracts when they did not match our selection criteria, which were: (1) use of a model, i.e. a simplified representation of the system, as a tool to design or assess future agricultural landscape(s), (2) a focus on agricultural systems (including farming practices and/or agricultural organisation, explaining why we chose not to use “land use*” as a key word), (3) resolution at landscape scale (i.e. beyond the farm level) and (4) with outcomes on alternative agricultural systems (thus excluding papers focusing only on the effects of climate change). We also manually excluded general papers lacking a case study application, e.g. reviews without case study (12 papers) (Figure 1). Our final dataset thus comprised 514 individual papers. The json file (EMS_public.jon) presented here, based on a Zotero extraction and excluding proprietary data (e.g., abstracts), includes: article ID, title, journal, page, volume, issue, country, authors and year of publication. Data can be viewed with Firefox, Zotero, or with the R software, using the package jsonlite (Ooms, 2014). The R code, run with R 3.3.3 (Mac), was used to identify the optimal number of topics for our 514 papers dataset, and perform the LDA analyses (number of groups, top words, distribution of topics for each paper, etc.). Note that the full database (including abstracts) is necessary to run this code. Only a partial database is included here, as the full one includes proprietary data. The excel file (all.art.final.topics.Threshold_0.15.xls) displays the results of our LDA analysis, as provided by the R code on the 514 papers database. It includes: the article number (corresponding to the ID of EMS_public.json), the article title, the number of occurences of words related to Topics 2, 1, 4, and 3, the Best topic (considering a dominancy threshold of 0.15), and the year of publication. Reference Ooms, J., 2014. The jsonlite Package: a practical and consistent mapping between JSON Data and R objects. arXiv:1403.2805 [stat.CO] URL https://arxiv.org/abs/1403.2805 (accessed, December 2017).

Journal of agricultural economics Acceptance Rate - ResearchHelpDesk - Journal of Agricultural Economics is a leading international professional journal, providing a forum for research into agricultural economics and related disciplines such as statistics, marketing, business management, politics, history and sociology, and their application to issues in the agricultural, food, and related industries; rural communities, and the environment. A leading journal for the discipline worldwide - consistently highly ranked in the Agricultural Economics & Policy category of ISI A dynamic, international, applied social science journal dealing with agriculture, food and related industries, rural development and the environment Articles on developments in research and methods of analysis as well as the application of existing methods and techniques to new problems and situations Aims and Scope Published on behalf of the Agricultural Economics Society, the Journal of Agricultural Economics is a leading international professional journal, providing a forum for research into agricultural economics and related disciplines such as statistics, marketing, business management, politics, history and sociology, and their application to issues in the agricultural, food, and related industries; rural communities, and the environment. Each issue of the JAE contains articles, notes and book reviews as well as information relating to the Agricultural Economics Society. Published 3 times a year, it is received by members and institutional subscribers in 69 countries. With contributions from leading international scholars, the JAE is a leading citation for agricultural economics and policy. Published articles either deal with new developments in research and methods of analysis, or apply existing methods and techniques to new problems and situations which are of general interest to the Journal’s international readership. Journal of Agricultural Economics - Keywords Agricultural economics, agriculture, resource economics, technical efficiency, consumer behaviour, contingent valuation, stated preference, willingness to pay, choice experiments, revealed preference, switching regression. Abstracting & Indexing Details Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Academic Search Premier (EBSCO Publishing) AgBiotech News & Information (CABI) AgeLine Database (EBSCO Publishing) AGRICOLA Database (National Agricultural Library) Agricultural & Environmental Science Database (ProQuest) Agricultural Engineering Abstracts (CABI) Animal Breeding Abstracts (CABI) AgBiotechNet (CABI) Biofuels Abstracts (CABI) Biological & Agricultural Index Plus (EBSCO Publishing) CAB Abstracts® (CABI) Current Contents: Agriculture, Biology & Environmental Sciences (Clarivate Analytics) Current Contents: Social & Behavioral Sciences (Clarivate Analytics) Dairy Science Abstracts (CABI) EconLit (AEA) Field Crop Abstracts (CABI) GeoRef (AGI) Global Health (CABI) Grasslands & Forage Abstracts (CABI) Horticultural Science Abstracts (CABI) Irrigation & Drainage Abstracts (CABI) Journal Citation Reports/Science Edition (Clarivate Analytics) Journal Citation Reports/Social Science Edition (Clarivate Analytics) Maize Abstracts (CABI) Natural Science Collection (ProQuest) Nutrition Abstracts & Reviews Series A: Human & Experimental (CABI) Nutrition Abstracts & Reviews Series B: Livestock Feeds & Feeding (CABI) Ornamental Horticulture (CABI) Periodical Index Online (ProQuest) Postharvest News & Information (CABI) Pig News & Information (CABI) Plant Breeding Abstracts (CABI) ProQuest Politics Collection (ProQuest) Plant Genetic Resources Abstracts (CABI) GEOBASE (Elsevier) Poultry Abstracts (CABI) Proquest Business Collection (ProQuest) ProQuest Sociology Collection (ProQuest) RePEc: Research Papers in Economics Review of Agricultural Entomology (CABI) Review of Medical & Veterinary Entomology (CABI) Rice Abstracts (CABI) Rural Development Abstracts (CABI) Science Citation Index (Clarivate Analytics) Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier) Seed Abstracts (CABI) Tropical Diseases Bulletin (CABI) Social Science Premium Collection (ProQuest) Social Sciences Citation Index (Clarivate Analytics) Soils & Fertilizers Abstracts (CABI) SciTech Premium Collection (ProQuest) Soybean Abstracts Online (CABI) Sugar Industry Abstracts (CABI) Veterinary Bulletin (CABI) VINITI (All-Russian Institute of Science & Technological Information) Viticulture & Enology Abstracts (Vitis) Wheat, Barley & Triticale Abstracts (CABI) World Agricultural Economics & Rural Sociology Abstracts (CABI)

Background: For measuring the impact in clinical and scientific research, the citation count of the articles is used in the bibliometric analysis, although there is no comprehensive summary of neurodegenerative disease research. This study intends to provide the neuroscientists and investigators with a practical reference guide to appraise the most important and influential articles written on this subject through a macroscopic view of the research activities on neurodegenerative diseases.Materials and Methods: The Clarivate Analytics Web of Science was searched in July 2020. To ensure the breadth of the search scope, the search terms were confirmed as “multiple sclerosis” (MS) or “amyotrophic lateral sclerosis” (ALS) or “Parkinson's” or “Alzheimer's” or “Huntington's” or “neurodegenerative.” After excluding completely unrelated articles, the top-cited articles were collected and evaluated from special characteristics. The data analysis was performed using SPSS 18.0. The articles were characterized by citation number, publication year, topic, study type, authorship, journal, country, and institute of responding author and foundation.Results: The query identified 593,050 articles. A total of 45% of the top-cited articles were published during 2000–2009, followed by 30 articles from 1990–1999. Diagnosis and pathology were the main research categories (n = 62). Alzheimer's disease (AD) was the main study topic (n = 43). Meanwhile, the United States confirmed the tremendous impact on the field of neurodegenerative diseases. Notably, 69 of 100 articles were studied in the United States, and the National Institutes of Health sponsored 49 articles. There were only 22 articles that can be divided by evidence level. No article was categorized as level 1 evidence. In the journal list with multiple articles, seven of 15 were general journals. The 58 authors, who contributed to more than one article, have been identified by VOSviewer, and the clusters of authors reveal the evolution of research focus in neurodegenerative diseases.Conclusions: This study analyzed the bibliometric characteristics and connections of 100 top-cited articles in the field of neurodegenerative diseases in the Web of Science. Their main outcomes were as follows: First, the pathology and diagnostic researches took a major role in top-cited articles while the therapy articles are relatively less. Second, the United States confirmed the tremendous impact on the field of neurodegenerative diseases. Third, researchers also submitted their researches to general journals, not just focused on specialty journals.

Australian and New Zealand journal of statistics Acceptance Rate - ResearchHelpDesk - The Australian & New Zealand Journal of Statistics is an international journal managed jointly by the Statistical Society of Australia and the New Zealand Statistical Association. Its purpose is to report significant and novel contributions in statistics, ranging across articles on statistical theory, methodology, applications and computing. The journal has a particular focus on statistical techniques that can be readily applied to real-world problems, and on application papers with an Australasian emphasis. Outstanding articles submitted to the journal may be selected as Discussion Papers, to be read at a meeting of either the Statistical Society of Australia or the New Zealand Statistical Association. The main body of the journal is divided into three sections. The Theory and Methods Section publishes papers containing original contributions to the theory and methodology of statistics, econometrics and probability, and seeks papers motivated by a real problem and which demonstrate the proposed theory or methodology in that situation. There is a strong preference for papers motivated by, and illustrated with, real data. The Applications Section publishes papers demonstrating applications of statistical techniques to problems faced by users of statistics in the sciences, government and industry. A particular focus is the application of newly developed statistical methodology to real data and the demonstration of better use of established statistical methodology in an area of application. It seeks to aid teachers of statistics by placing statistical methods in context. The Statistical Computing Section publishes papers containing new algorithms, code snippets, or software descriptions (for open source software only) which enhance the field through the application of computing. Preference is given to papers featuring publically available code and/or data, and to those motivated by statistical methods for practical problems. In addition, suitable review papers and articles of historical and general interest will be considered. The journal also publishes book reviews on a regular basis. Abstracting and Indexing Information Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Academic Search Elite (EBSCO Publishing) Academic Search Premier (EBSCO Publishing) CompuMath Citation Index (Clarivate Analytics) Current Index to Statistics (ASA/IMS) Journal Citation Reports/Science Edition (Clarivate Analytics) Mathematical Reviews/MathSciNet/Current Mathematical Publications (AMS) RePEc: Research Papers in Economics Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier) Statistical Theory & Method Abstracts (Zentralblatt MATH) ZBMATH (Zentralblatt MATH)

Journal of agricultural economics Impact Factor 2024-2025 - ResearchHelpDesk - Journal of Agricultural Economics is a leading international professional journal, providing a forum for research into agricultural economics and related disciplines such as statistics, marketing, business management, politics, history and sociology, and their application to issues in the agricultural, food, and related industries; rural communities, and the environment. A leading journal for the discipline worldwide - consistently highly ranked in the Agricultural Economics & Policy category of ISI A dynamic, international, applied social science journal dealing with agriculture, food and related industries, rural development and the environment Articles on developments in research and methods of analysis as well as the application of existing methods and techniques to new problems and situations Aims and Scope Published on behalf of the Agricultural Economics Society, the Journal of Agricultural Economics is a leading international professional journal, providing a forum for research into agricultural economics and related disciplines such as statistics, marketing, business management, politics, history and sociology, and their application to issues in the agricultural, food, and related industries; rural communities, and the environment. Each issue of the JAE contains articles, notes and book reviews as well as information relating to the Agricultural Economics Society. Published 3 times a year, it is received by members and institutional subscribers in 69 countries. With contributions from leading international scholars, the JAE is a leading citation for agricultural economics and policy. Published articles either deal with new developments in research and methods of analysis, or apply existing methods and techniques to new problems and situations which are of general interest to the Journal’s international readership. Journal of Agricultural Economics - Keywords Agricultural economics, agriculture, resource economics, technical efficiency, consumer behaviour, contingent valuation, stated preference, willingness to pay, choice experiments, revealed preference, switching regression. Abstracting & Indexing Details Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Academic Search Premier (EBSCO Publishing) AgBiotech News & Information (CABI) AgeLine Database (EBSCO Publishing) AGRICOLA Database (National Agricultural Library) Agricultural & Environmental Science Database (ProQuest) Agricultural Engineering Abstracts (CABI) Animal Breeding Abstracts (CABI) AgBiotechNet (CABI) Biofuels Abstracts (CABI) Biological & Agricultural Index Plus (EBSCO Publishing) CAB Abstracts® (CABI) Current Contents: Agriculture, Biology & Environmental Sciences (Clarivate Analytics) Current Contents: Social & Behavioral Sciences (Clarivate Analytics) Dairy Science Abstracts (CABI) EconLit (AEA) Field Crop Abstracts (CABI) GeoRef (AGI) Global Health (CABI) Grasslands & Forage Abstracts (CABI) Horticultural Science Abstracts (CABI) Irrigation & Drainage Abstracts (CABI) Journal Citation Reports/Science Edition (Clarivate Analytics) Journal Citation Reports/Social Science Edition (Clarivate Analytics) Maize Abstracts (CABI) Natural Science Collection (ProQuest) Nutrition Abstracts & Reviews Series A: Human & Experimental (CABI) Nutrition Abstracts & Reviews Series B: Livestock Feeds & Feeding (CABI) Ornamental Horticulture (CABI) Periodical Index Online (ProQuest) Postharvest News & Information (CABI) Pig News & Information (CABI) Plant Breeding Abstracts (CABI) ProQuest Politics Collection (ProQuest) Plant Genetic Resources Abstracts (CABI) GEOBASE (Elsevier) Poultry Abstracts (CABI) Proquest Business Collection (ProQuest) ProQuest Sociology Collection (ProQuest) RePEc: Research Papers in Economics Review of Agricultural Entomology (CABI) Review of Medical & Veterinary Entomology (CABI) Rice Abstracts (CABI) Rural Development Abstracts (CABI) Science Citation Index (Clarivate Analytics) Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier) Seed Abstracts (CABI) Tropical Diseases Bulletin (CABI) Social Science Premium Collection (ProQuest) Social Sciences Citation Index (Clarivate Analytics) Soils & Fertilizers Abstracts (CABI) SciTech Premium Collection (ProQuest) Soybean Abstracts Online (CABI) Sugar Industry Abstracts (CABI) Veterinary Bulletin (CABI) VINITI (All-Russian Institute of Science & Technological Information) Viticulture & Enology Abstracts (Vitis) Wheat, Barley & Triticale Abstracts (CABI) World Agricultural Economics & Rural Sociology Abstracts (CABI)

Journal of Ophthalmology CiteScore 2024-2025 - ResearchHelpDesk - Journal of Ophthalmology is a peer-reviewed, Open Access journal that publishes original research, review, and clinical studies related to the anatomy, physiology and diseases of the eye. Submissions should focus on focusing on new diagnostic and surgical techniques, instrument and therapy updates, as well as clinical trials and research findings. Journal of Ophthalmology is archived in Portico, which provides permanent archiving for electronic scholarly journals, as well as via the LOCKSS initiative. It operates a fully open access publishing model which allows open global access to its published content. This model is supported through Article Processing Charges. The most recent Impact Factor for Journal of Ophthalmology is 1.580 according to the 2018 Journal Citation Reports released by Clarivate Analytics in 2019. The journal’s most recent CiteScore is 1.78 according to the CiteScore 2018 metrics released by Scopus. Journal of Ophthalmology is included in many leading abstracting and indexing databases. Academic OneFile Academic Search Alumni Edition Academic Search Complete Airiti Library Biological Sciences Chemical Abstracts Service (CAS) CINAHL Plus with Full Text CNKI Scholar Directory of Open Access Journals (DOAJ) EBSCO Discovery Service EBSCOhost Connection EBSCOhost Research Databases Expanded Academic ASAP Expanded Academic Index Google Scholar Health and Wellness Resource Center Health Reference Center Academic HINARI Access to Research in Health Programme InfoTrac Custom journals J-Gate Portal Journal Citation Reports - Science Edition Open Access Journals Integrated Service System Project (GoOA) Primo Central Index PubMed PubMed Central SafetyLit Science Citation Index Expanded Scopus The Summon Service WorldCat Discovery Services

Experimental Dermatology Impact Factor 2024-2025 - ResearchHelpDesk - Experimental Dermatology provides a vehicle for the rapid publication of innovative and definitive reports, letters to the editor and review articles covering all aspects of experimental dermatology. Preference is given to papers of immediate importance to other investigators, either by virtue of their new methodology, experimental data or new ideas. The essential criteria for publication are clarity, experimental soundness and novelty. Letters to the editor related to published reports may also be accepted, provided that they are short and scientifically relevant to the reports mentioned, in order to provide a continuing forum for discussion. Review articles represent a state-of-the-art overview and are invited by the editors. Keywords Experimental Dermatology, EXD, dermatology, skin disease, cutaneous, immunodermatology, Abstracting and Indexing Abstracts in Anthropology (Sage) Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Academic Search Premier (EBSCO Publishing) BIOBASE: Current Awareness in Biological Sciences (Elsevier) Current Contents: Clinical Medicine (Clarivate Analytics) Embase (Elsevier) EORTC Database (European Organisation for Research & Treatment of Cancer) InfoTrac (GALE Cengage) Journal Citation Reports/Science Edition (Clarivate Analytics) MEDLINE/PubMed (NLM) PubMed Dietary Supplement Subset (NLM) Research Alert (Clarivate Analytics) Science Citation Index (Clarivate Analytics) Science Citation Index Expanded (Clarivate Analytics)

Journal of Ophthalmology Abstract & Indexing - ResearchHelpDesk - Journal of Ophthalmology is a peer-reviewed, Open Access journal that publishes original research, review, and clinical studies related to the anatomy, physiology and diseases of the eye. Submissions should focus on focusing on new diagnostic and surgical techniques, instrument and therapy updates, as well as clinical trials and research findings. Journal of Ophthalmology is archived in Portico, which provides permanent archiving for electronic scholarly journals, as well as via the LOCKSS initiative. It operates a fully open access publishing model which allows open global access to its published content. This model is supported through Article Processing Charges. The most recent Impact Factor for Journal of Ophthalmology is 1.580 according to the 2018 Journal Citation Reports released by Clarivate Analytics in 2019. The journal’s most recent CiteScore is 1.78 according to the CiteScore 2018 metrics released by Scopus. Journal of Ophthalmology is included in many leading abstracting and indexing databases. Academic OneFile Academic Search Alumni Edition Academic Search Complete Airiti Library Biological Sciences Chemical Abstracts Service (CAS) CINAHL Plus with Full Text CNKI Scholar Directory of Open Access Journals (DOAJ) EBSCO Discovery Service EBSCOhost Connection EBSCOhost Research Databases Expanded Academic ASAP Expanded Academic Index Google Scholar Health and Wellness Resource Center Health Reference Center Academic HINARI Access to Research in Health Programme InfoTrac Custom journals J-Gate Portal Journal Citation Reports - Science Edition Open Access Journals Integrated Service System Project (GoOA) Primo Central Index PubMed PubMed Central SafetyLit Science Citation Index Expanded Scopus The Summon Service WorldCat Discovery Services

British Journal of Dermatology Impact Factor 2024-2025 - ResearchHelpDesk - British Journal of Dermatology - BJD is a top-ranked worldwide dermatology journal, encouraging submissions from across the globe. It publishes the highest quality research that advances the understanding and management of skin disease. BJD has distinct sections for clinical trials, epidemiology, qualitative and outcomes research, evidence-based dermatology, and translational research. Original articles are accompanied by a commentary from an expert in the field, plain language summary, journal club slides and an author video. Median time from submission to first decision is 2 days without external peer review and 23 days with peer review. The BJD strives to publish the highest-quality dermatological research. In so doing, the Journal aims to advance the understanding, management and treatment of skin disease in order to improve the outcomes of patient care. The main focus of the BJD (described in a position statement published in the June 2015 issue) is to publish the highest-quality research encompassing the following: Clinical trials that are registered before recruitment starts and report fully according to the CONSORT guidelines. Clinical studies that include epidemiology, qualitative research and mixed methods that conform to the STROBE and SRQR reporting guidelines. Translational research that describes basic and applied science of potential clinical relevance. Systematic reviews following the PRISMA statement (http://www.prisma-statement.org/ ), MOOSE guidelines or the ENTREQ statement. The BJD invites submissions under a broad scope of topics relevant to clinical and experimental research as described in the position statement. The Journal publishes original articles, Reviews, Clinical Guidelines, Research Letters, Perspectives, Case Reports and items of correspondence. The BJD is an official organ of the British Association of Dermatologists, but attracts contributions from dermatology researchers throughout the world. The BJD editorial board and editorial team include outstanding clinical academics, scientists and clinicians from across the globe. The circulation and readership of the BJD are equally international. The overriding criteria for publication are scientific merit, originality and interest to a multidisciplinary audience. Abstracting and Indexing Abstracts in Anthropology (Sage) Abstracts on Hygiene & Communicable Diseases (CABI) Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Academic Search Elite (EBSCO Publishing) Academic Search Premier (EBSCO Publishing) AgBiotech News & Information (CABI) AgBiotechNet (CABI) Agricultural Engineering Abstracts (CABI) Animal Breeding Abstracts (CABI) BIOBASE: Current Awareness in Biological Sciences (Elsevier) Biological Abstracts (Clarivate Analytics) BIOSIS Previews (Clarivate Analytics) Botanical Pesticides (CABI) CAB Abstracts® (CABI) Current Contents: Clinical Medicine (Clarivate Analytics) Dairy Science Abstracts (CABI) Embase (Elsevier) Global Health (CABI) Health Source Nursing/Academic (EBSCO Publishing) HEED: Health Economic Evaluations Database (Wiley-Blackwell) Helminthological Abstracts (CABI) Horticultural Science Abstracts (CABI) IDIS: Iowa Drug Information Service (University of Iowa) InfoTrac (GALE Cengage) International Pharmaceutical Abstracts (Clarivate Analytics) Journal Citation Reports/Science Edition (Clarivate Analytics) Leisure Tourism Database (CABI) Leisure, Recreation & Tourism Abstracts (CABI) MEDLINE/PubMed (NLM) Nutrition Abstracts & Reviews Series A: Human & Experimental (CABI) Nutrition Abstracts & Reviews Series B: Livestock Feeds & Feeding (CABI) PASCAL Database (INIST/CNRS) Pig News & Information (CABI) Protozoological Abstracts (CABI) PubMed Dietary Supplement Subset (NLM) Review of Aromatic & Medicinal Plants (CABI) Review of Medical & Veterinary Entomology (CABI) Review of Medical & Veterinary Mycology (CABI) Review of Plant Pathology (CABI) Rural Development Abstracts (CABI) Science Citation Index (Clarivate Analytics) Science Citation Index Expanded (Clarivate Analytics) The RECAL Legacy (National Centre for Prosthetics & Orthodontics) Tropical Diseases Bulletin (CABI) Veterinary Bulletin (CABI) Weed Abstracts (CABI) World Agricultural Economics & Rural Sociology Abstracts (CABI)

British Journal of Dermatology Publication fee - ResearchHelpDesk - British Journal of Dermatology - BJD is a top-ranked worldwide dermatology journal, encouraging submissions from across the globe. It publishes the highest quality research that advances the understanding and management of skin disease. BJD has distinct sections for clinical trials, epidemiology, qualitative and outcomes research, evidence-based dermatology, and translational research. Original articles are accompanied by a commentary from an expert in the field, plain language summary, journal club slides and an author video. Median time from submission to first decision is 2 days without external peer review and 23 days with peer review. The BJD strives to publish the highest-quality dermatological research. In so doing, the Journal aims to advance the understanding, management and treatment of skin disease in order to improve the outcomes of patient care. The main focus of the BJD (described in a position statement published in the June 2015 issue) is to publish the highest-quality research encompassing the following: Clinical trials that are registered before recruitment starts and report fully according to the CONSORT guidelines. Clinical studies that include epidemiology, qualitative research and mixed methods that conform to the STROBE and SRQR reporting guidelines. Translational research that describes basic and applied science of potential clinical relevance. Systematic reviews following the PRISMA statement (http://www.prisma-statement.org/ ), MOOSE guidelines or the ENTREQ statement. The BJD invites submissions under a broad scope of topics relevant to clinical and experimental research as described in the position statement. The Journal publishes original articles, Reviews, Clinical Guidelines, Research Letters, Perspectives, Case Reports and items of correspondence. The BJD is an official organ of the British Association of Dermatologists, but attracts contributions from dermatology researchers throughout the world. The BJD editorial board and editorial team include outstanding clinical academics, scientists and clinicians from across the globe. The circulation and readership of the BJD are equally international. The overriding criteria for publication are scientific merit, originality and interest to a multidisciplinary audience. Abstracting and Indexing Abstracts in Anthropology (Sage) Abstracts on Hygiene & Communicable Diseases (CABI) Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Academic Search Elite (EBSCO Publishing) Academic Search Premier (EBSCO Publishing) AgBiotech News & Information (CABI) AgBiotechNet (CABI) Agricultural Engineering Abstracts (CABI) Animal Breeding Abstracts (CABI) BIOBASE: Current Awareness in Biological Sciences (Elsevier) Biological Abstracts (Clarivate Analytics) BIOSIS Previews (Clarivate Analytics) Botanical Pesticides (CABI) CAB Abstracts® (CABI) Current Contents: Clinical Medicine (Clarivate Analytics) Dairy Science Abstracts (CABI) Embase (Elsevier) Global Health (CABI) Health Source Nursing/Academic (EBSCO Publishing) HEED: Health Economic Evaluations Database (Wiley-Blackwell) Helminthological Abstracts (CABI) Horticultural Science Abstracts (CABI) IDIS: Iowa Drug Information Service (University of Iowa) InfoTrac (GALE Cengage) International Pharmaceutical Abstracts (Clarivate Analytics) Journal Citation Reports/Science Edition (Clarivate Analytics) Leisure Tourism Database (CABI) Leisure, Recreation & Tourism Abstracts (CABI) MEDLINE/PubMed (NLM) Nutrition Abstracts & Reviews Series A: Human & Experimental (CABI) Nutrition Abstracts & Reviews Series B: Livestock Feeds & Feeding (CABI) PASCAL Database (INIST/CNRS) Pig News & Information (CABI) Protozoological Abstracts (CABI) PubMed Dietary Supplement Subset (NLM) Review of Aromatic & Medicinal Plants (CABI) Review of Medical & Veterinary Entomology (CABI) Review of Medical & Veterinary Mycology (CABI) Review of Plant Pathology (CABI) Rural Development Abstracts (CABI) Science Citation Index (Clarivate Analytics) Science Citation Index Expanded (Clarivate Analytics) The RECAL Legacy (National Centre for Prosthetics & Orthodontics) Tropical Diseases Bulletin (CABI) Veterinary Bulletin (CABI) Weed Abstracts (CABI) World Agricultural Economics & Rural Sociology Abstracts (CABI)

Big Data and Society Acceptance Rate - ResearchHelpDesk - Big Data & Society (BD&S) is open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities and computing and their intersections with the arts and natural sciences about the implications of Big Data for societies. The Journal's key purpose is to provide a space for connecting debates about the emerging field of Big Data practices and how they are reconfiguring academic, social, industry, business, and government relations, expertise, methods, concepts, and knowledge. BD&S moves beyond usual notions of Big Data and treats it as an emerging field of practice that is not defined by but generative of (sometimes) novel data qualities such as high volume and granularity and complex analytics such as data linking and mining. It thus attends to digital content generated through online and offline practices in social, commercial, scientific, and government domains. This includes, for instance, the content generated on the Internet through social media and search engines but also that which is generated in closed networks (commercial or government transactions) and open networks such as digital archives, open government, and crowdsourced data. Critically, rather than settling on a definition the Journal makes this an object of interdisciplinary inquiries and debates explored through studies of a variety of topics and themes. BD&S seeks contributions that analyze Big Data practices and/or involve empirical engagements and experiments with innovative methods while also reflecting on the consequences for how societies are represented (epistemologies), realized (ontologies) and governed (politics). Article processing charge (APC) The article processing charge (APC) for this journal is currently 1500 USD. Authors who do not have funding for open access publishing can request a waiver from the publisher, SAGE, once their Original Research Article is accepted after peer review. For all other content (Commentaries, Editorials, Demos) and Original Research Articles commissioned by the Editor, the APC will be waived. Abstract & Indexing Clarivate Analytics: Social Sciences Citation Index (SSCI) Directory of Open Access Journals (DOAJ) Google Scholar Scopus

Big Data and Society Abstract & Indexing - ResearchHelpDesk - Big Data & Society (BD&S) is open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities and computing and their intersections with the arts and natural sciences about the implications of Big Data for societies. The Journal's key purpose is to provide a space for connecting debates about the emerging field of Big Data practices and how they are reconfiguring academic, social, industry, business, and government relations, expertise, methods, concepts, and knowledge. BD&S moves beyond usual notions of Big Data and treats it as an emerging field of practice that is not defined by but generative of (sometimes) novel data qualities such as high volume and granularity and complex analytics such as data linking and mining. It thus attends to digital content generated through online and offline practices in social, commercial, scientific, and government domains. This includes, for instance, the content generated on the Internet through social media and search engines but also that which is generated in closed networks (commercial or government transactions) and open networks such as digital archives, open government, and crowdsourced data. Critically, rather than settling on a definition the Journal makes this an object of interdisciplinary inquiries and debates explored through studies of a variety of topics and themes. BD&S seeks contributions that analyze Big Data practices and/or involve empirical engagements and experiments with innovative methods while also reflecting on the consequences for how societies are represented (epistemologies), realized (ontologies) and governed (politics). Article processing charge (APC) The article processing charge (APC) for this journal is currently 1500 USD. Authors who do not have funding for open access publishing can request a waiver from the publisher, SAGE, once their Original Research Article is accepted after peer review. For all other content (Commentaries, Editorials, Demos) and Original Research Articles commissioned by the Editor, the APC will be waived. Abstract & Indexing Clarivate Analytics: Social Sciences Citation Index (SSCI) Directory of Open Access Journals (DOAJ) Google Scholar Scopus