Journal of Accounting Research Impact Factor 2024-2025 - ResearchHelpDesk - The Journal of Accounting Research is a general-interest accounting journal. It publishes original research in all areas of accounting and related fields that utilizes tools from basic disciplines such as economics, statistics, psychology, and sociology. This research typically uses analytical, empirical archival, experimental, and field study methods and addresses economic questions, external and internal, in accounting, auditing, disclosure, financial reporting, taxation, and information as well as related fields such as corporate finance, investments, capital markets, law, contracting, and information economics. The journal publishes four regular issues and one conference issue each year. The conference issue contains papers from the annual accounting research conference held at the University of Chicago. Topics published include: The impact of financial reporting and disclosure on stock prices; The economics of auditing, enforcement and audit oversight; The use of accounting information in contracting in debt, labour, supply, and other markets; The role of accounting in compensation and in corporate governance; The role of managerial accounting on internal decision making such as budgeting, costing, and transfer pricing; The real effects of financial reporting and disclosure (e.g. on firm behaviour); The economics of regulation of financial reporting and disclosure, including bank regulation; International differences in financial reporting and the role of reporting standards in international capital markets; The political economy of standard-setting; The use of accounting information in public finance and macroeconomic statistics; The impact of tax regulation on transaction structuring; The role of transparency in markets and society; Corporate Social Responsibility Keywords Accounting, Finance, Business, Global, Research, Statistical, Historical, Professional, Auditing, Theory, Financial, Management, Social, Environmental, Taxation, Analysis, Journal, Studies, Article, Periodical, Review, Book, Standards, Regulation, Rules, International Abstracting and Indexing Information ABI/INFORM Collection (ProQuest) Accounting, Tax & Banking Collection (ProQuest) Business Abstracts (EBSCO Publishing) Business ASAP (GALE Cengage) Business Premium Collection (ProQuest) CatchWord (Publishing Technology) Current Contents: Social & Behavioral Sciences (Clarivate Analytics) Current Index to Statistics (ASA/IMS) EBSCO Online (EBSCO Publishing) EconLit (AEA) Emerald Management Reviews (Emerald) Expanded Academic ASAP (GALE Cengage) InfoTrac (GALE Cengage) Journal Citation Reports/Social Science Edition (Clarivate Analytics) OmniFile Full Text Mega Edition (HW Wilson) Periodical Index Online (ProQuest) Proquest Business Collection (ProQuest) ProQuest Central (ProQuest) ProQuest Central K-277 ProQuest Politics Collection (ProQuest) ProQuest Sociology Collection (ProQuest) RePEc: Research Papers in Economics Research Library (ProQuest) Research Library Prep (ProQuest) SCOPUS (Elsevier) Social Science Premium Collection (ProQuest) Social Sciences Citation Index (Clarivate Analytics)

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

Here are the data for papers [1,2]. The 1st excel sheet ("theory") has data for Figures 1, 2 of [1]. The 2nd sheet ("JCR data") has data for Figures 3, 4, 5, 6 of [1], and Figure 1 of [2].A. Data in the "theory" sheet:2nd row: Citation count, c, of a single paper published by a journal of Impact Factor f1=10 and biennial size N1. We have chosen c to range from 0 to 1000 in our data. 2nd column: biennial size N1 of journal. We have chosen N1 to range from 10 to 2500 in our data. The data in the cells from C3 to EC283 in the sheet are calculations of the volatility, Δf(c), as defined in Eq. (4) of [1].B. Data in the "JCR data" sheet:The publication and citation data below are from each journal's individual Journal Citation Report for 2017. Impact Factor. These are data from the 2017 Journal Citation Reports (JCR).Journal biennial size, N2Y. This is the number of articles & reviews published in 2015-2016 by each journal.Citation average, f. This is the average number of citations received in 2017 by the articles & reviews published in 2015-2016.Volatility, Δf(c*): This is defined as f - f* (see below for f*)Relative volatility, Δfr(c*): This is defined as (f - f*)/f* (see below for f*)Top-cited paper, c*: This is the citation count of the top-cited paper in each journal, in the year 2017. Citation average excluding top-cited paper, f*: This is the average number of citations received in 2017 by the articles & reviews published in 2015-2016, once we exclude the top-cited paper (article or review). AcknowledgmentThis work uses data, accessed through Columbia University, from the Web of Science and Journal Citation Reports (2017) with explicit consent from Clarivate Analytics.References [1] M. Antonoyiannakis, Impact Factor volatility to a single paper: A comprehensive analysis, Quantitative Science Studies (2020, accepted), https://arxiv.org/abs/1911.02533[2] M. Antonoyiannakis, How a single paper affects the Impact Factor: Implications for Scholarly Publishing, Proceedings of the 17th Conference of the International Society on Scientometrics & Informetrics, vol. II, 2306-2313 (2019), https://arxiv.org/abs/1906.02660

Journals & Ranking

An academic journal or research journal is a periodical publication in which research articles relating to a particular academic discipline is published, according to Wikipedia. Currently, there are more than 25,000 peer-reviewed journals that are indexed in citation index databases such as Scopus and Web of Science. These indexes are ranked on the basis of various metrics such as CiteScore, H-index, etc. The metrics are calculated from yearly citation data of the journal. A lot of efforts are given to make a metric that reflects the journal's quality.

Journal Ranking Dataset

This is a comprehensive dataset on the academic journals coving their metadata information as well as citation, metrics, and ranking information. Detailed data on their subject area is also given in this dataset. The dataset is collected from the following indexing databases: - Scimago Journal Ranking - Scopus - Web of Science Master Journal List

The data is collected by scraping and then it was cleaned, details of which can be found in HERE.

Key Features

• Rank: Overall rank of journal (derived from sorted SJR index).
• Title: Name or title of journal.
• OA: Open Access or not.
• Country: Country of origin.
• SJR-index: A citation index calculated by Scimago.
• CiteScore: A citation index calculated by Scopus.
• H-index: Hirsh index, the largest number h such that at least h articles in that journal were cited at least h times each.
• Best Quartile: Top Q-index or quartile a journal has in any subject area.
• Best Categories: Subject areas with top quartile.
• Best Subject Area: Highest ranking subject area.
• Best Subject Rank: Rank of the highest ranking subject area.
• Total Docs.: Total number of documents of the journal.
• Total Docs. 3y: Total number of documents in the past 3 years.
• Total Refs.: Total number of references of the journal.
• Total Cites 3y: Total number of citations in the past 3 years.
• Citable Docs. 3y: Total number of citable documents in the past 3 years.
• Cites/Doc. 2y: Total number of citations divided by the total number of documents in the past 2 years.
• Refs./Doc.: Total number of references divided by the total number of documents.
• Publisher: Name of the publisher company of the journal.
• Core Collection: Web of Science core collection name.
• Coverage: Starting year of coverage.
• Active: Active or inactive.
• In-Press: Articles in press or not.
• ISO Language Code: Three-letter ISO 639 code for language.
• ASJC Codes: All Science Journal Classification codes for the journal.

Rest of the features provide further details on the journal's subject area or category: - Life Sciences: Top level subject area. - Social Sciences: Top level subject area. - Physical Sciences: Top level subject area. - Health Sciences: Top level subject area. - 1000 General: ASJC main category. - 1100 Agricultural and Biological Sciences: ASJC main category. - 1200 Arts and Humanities: ASJC main category. - 1300 Biochemistry, Genetics and Molecular Biology: ASJC main category. - 1400 Business, Management and Accounting: ASJC main category. - 1500 Chemical Engineering: ASJC main category. - 1600 Chemistry: ASJC main category. - 1700 Computer Science: ASJC main category. - 1800 Decision Sciences: ASJC main category. - 1900 Earth and Planetary Sciences: ASJC main category. - 2000 Economics, Econometrics and Finance: ASJC main category. - 2100 Energy: ASJC main category. - 2200 Engineering: ASJC main category. - 2300 Environmental Science: ASJC main category. - 2400 Immunology and Microbiology: ASJC main category. - 2500 Materials Science: ASJC main category. - 2600 Mathematics: ASJC main category. - 2700 Medicine: ASJC main category. - 2800 Neuroscience: ASJC main category. - 2900 Nursing: ASJC main category. - 3000 Pharmacology, Toxicology and Pharmaceutics: ASJC main category. - 3100 Physics and Astronomy: ASJC main category. - 3200 Psychology: ASJC main category. - 3300 Social Sciences: ASJC main category. - 3400 Veterinary: ASJC main category. - 3500 Dentistry: ASJC main category. - 3600 Health Professions: ASJC main category.

Polymer engineering and science Impact Factor 2024-2025 - ResearchHelpDesk - Polymer engineering and science - Every day, the Society of Plastics Engineers (SPE) takes action to help companies in the plastics industry succeed. How? By spreading knowledge, strengthening skills and promoting plastics. Employing these vital strategies, Polymer engineering and science - SPE has helped the plastics industry thrive for over 60 years. In the process, we've developed a 25,000-member network of leading engineers and other plastics professionals, including technicians, salespeople, marketers, retailers, and representatives from tertiary industries. For more than 30 years, Polymer Engineering & Science has been one of the most highly regarded journals in the field, serving as a forum for authors of treatises on the cutting edge of polymer science and technology. The importance of PE&S is underscored by the frequent rate at which its articles are cited, especially by other publications - literally thousands of times a year. Engineers, researchers, technicians, and academicians worldwide are looking to PE&S for the valuable information they need. There are special issues compiled by distinguished guest editors. These contain proceedings of symposia on such diverse topics as polyblends, mechanics of plastics and polymer welding. Abstracting and Indexing Information Academic ASAP (GALE Cengage) Advanced Technologies & Aerospace Database (ProQuest) Applied Science & Technology Index/Abstracts (EBSCO Publishing) CAS: Chemical Abstracts Service (ACS) CCR Database (Clarivate Analytics) Chemical Abstracts Service/SciFinder (ACS) Chemistry Server Reaction Center (Clarivate Analytics) ChemWeb (ChemIndustry.com) Chimica Database (Elsevier) COMPENDEX (Elsevier) Current Contents: Engineering, Computing & Technology (Clarivate Analytics) Current Contents: Physical, Chemical & Earth Sciences (Clarivate Analytics) Expanded Academic ASAP (GALE Cengage) InfoTrac (GALE Cengage) Journal Citation Reports/Science Edition (Clarivate Analytics) Materials Science & Engineering Database (ProQuest) PASCAL Database (INIST/CNRS) Polymer Library (iSmithers RAPRA) ProQuest Central (ProQuest) ProQuest Central K-462 Reaction Citation Index (Clarivate Analytics) Research Library (ProQuest) Research Library Prep (ProQuest) Science Citation Index (Clarivate Analytics) Science Citation Index Expanded (Clarivate Analytics) SciTech Premium Collection (ProQuest) SCOPUS (Elsevier) STEM Database (ProQuest) Technology Collection (ProQuest) Web of Science (Clarivate Analytics)

The classification in reproducible and not reproducible models was made by Tiwari et al.

Citations were looked up in Scopus, Web of Science and Google Scholar.

The following journals had to be excluded, as Journal Impact Factors (JIF) were missing or papers were discontinued: * Experientia was closed 1996 and continued as Cellular and Molecular Life Sciences 1997 * The American journal of physiology – split into fields 1977, further splits in 1980 and 1989 * IFAC Proceedings Volumes – last issue 2014, continued as IFAC-PapersOnLine * Mathematical and Computer Modelling – discontinued as of 2014 * IOP Conference Series: Materials Science and Engineering – not a journal but conference proceedings – no impact factor listed * Infectious Disease Modelling – no impact factor found * Jurnal Teknologi – no impact factor found * JCO clinical cancer informatics – no impact factor found * Quantitative biology (Beijing, China) – no impact factor found * Letters in Biomathematics – no impact factor found * Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference – no impact factor found * Haemostasis – discontinued; no impact factor found

It was tried to include as many papers as possible.

As the JIF is calculated every year, an average JIF of the Journal Citation Reports from 2014 to 2021 was calculated and used for the analysis. The results do not differ qualitatively if only the JIF of 2021 was used. As the Journal Impact Factor reports belong to Clarivate the JCR data was not uploaded to the repository.

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.

Journal of the American Academy of Dermatology CiteScore 2024-2025 - ResearchHelpDesk - The Journal of the American Academy of Dermatology (JAAD), the official scientific publication of the American Academy of Dermatology (AAD), aims to satisfy the educational needs of the dermatology community. As the specialty's leading journal, JAAD features original, peer-reviewed articles emphasizing: Clinical, investigative, and population-based studies Healthcare delivery and quality of care research High quality, cost effective, and innovative treatments New diagnostic techniques, and Other topics related to the prevention, diagnosis, and treatment of disorders of the skin, hair, and nails Each issue includes continuing medical education articles designed to fill practice and knowledge gaps in the delivery of dermatologic care. JAAD is also the official venue for practice guidelines established by the AAD. Our ultimate goal is to provide readers with content that advances the breadth and depth of dermatologic expertise by disseminating evidence-based recommendations to improve patient outcomes. The Journal is ranked 2nd of 66 journals in the Dermatology category in the 2018 Journal Citation Reports®, published by Clarivate Analytics, and has an Impact Factor of 7.102. The Journal of the American Academy of Dermatology is also recommended for purchase in the Brandon-Hill study, Selected List of Books and Journals for the Small Medical Library.

Advanced Materials CiteScore 2024-2025 - ResearchHelpDesk - Advanced Materials has been bringing you the latest progress in materials science every week for over 30 years. Read carefully selected, top-quality Reviews, Progress Reports, Communications, and Research News at the cutting edge of the chemistry and physics of functional materials. Advanced Materials has an Impact Factor of 25.809 (2018 Journal Impact Factor, Journal Citation Reports (Clarivate Analytics, 2019)). One key to the success of Advanced Materials is its pronounced interdisciplinarity. Keywords materials science, nanotechnology, liquid crystals, semiconductors, superconductors, optics, lasers, sensors, porous materials, light emitting materials, ceramics, biological materials, magnetic materials, thin films, colloids, energy materials, photovoltaics, solar cells, biomaterials, photonics, ferroelectrics, multiferroics, metamaterials, drug delivery, cancer therapy, tissue engineering, imaging, self-assembly, hierarchical materials, batteries, supercapacitors, thermoelectrics, polymers, nanomaterials, nanocomposites, nanotubes, nanowires, nanoparticles, carbon, diamond, fullerenes Abstracting and Indexing Information Cambridge Structural Database (Cambridge Crystallographic Data Centre) CAS: Chemical Abstracts Service (ACS) Chemical Abstracts Service/SciFinder (ACS) Chimica Database (Elsevier) COMPENDEX (Elsevier) Current Contents: Engineering, Computing & Technology (Clarivate Analytics) Current Contents: Physical, Chemical & Earth Sciences (Clarivate Analytics) ENERGY (FIZ Karlsruhe) INIS: International Nuclear Information System Database (IAEA) Journal Citation Reports/Science Edition (Clarivate Analytics) MEDLINE/PubMed (NLM) Polymer Library (iSmithers RAPRA) Reaction Citation Index (Clarivate Analytics) Science Citation Index (Clarivate Analytics) Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier) TEMA: Technik und Management (WTI-Frankfurt eG) The RECAL Legacy (National Centre for Prosthetics & Orthodontics) VINITI (All-Russian Institute of Science & Technological Information) Web of Science (Clarivate Analytics)

The average value of ‘Spearman Correlation between JIF and article citedness’ for individual authors in different groups based on according article citedness [Data from Clarivate Analytics’ National Citation Report for Norway].

Fundamental changes in the way scientific research is disseminated have inspired the concept of altmetrics, most prominently the Altmetric Attention Score (AAS). The exact relation between the latter and traditional measures of science reception (e.g. citation count) is unknown. In this study, we determined citation counts and AAS as well as the ratio between the two (AAS-to-citation ratio) in 138,339 original research and review articles from 86 neurological journals between 2012 and 2021. The journal impact factor was closely correlated with both citation count (rs = 0.73) and AAS (rs = 0.64), whereas it showed a negative association with the AAS-to-citation ratio (rs = −0.26). Reviews accumulated more citations and a higher AAS than original research, while their AAS-to-citation ratio was significantly lower. Citation count was the only metric significantly associated with the number of publications by country (rs = 0.65). There were notable differences between major neurological subspecialties, with Alzheimer’s disease the article topic having the highest average citation count, AAS, and AAS-to-citation ratio. Our findings suggest that the career of a neurological paper in the academic and public sphere is determined by various and sometimes specific factors. Methods To gain a representative overview of the research in neurology during the decade of interest, we took the top 20 neurology journals by h5 index11 listed on Google Scholar and combined them with the top 50 neurology and clinical neurology journals according to the SCImago Journal Rank (SJR) (https://www.scimagojr.com). Only journals with at least 100 citable documents (i.e. original research or reviews) over the period of interest were considered to avoid potential bias by outliers. Any duplicates were removed. In total, 86 journals were chosen for further analyses. The Web of Science (WoS) Core Collection was used for the identification of articles to be included. Every document from the 86 journals listed as either ‘Article’ or ‘Review’ with a final publication year between 2012 and 2021 was included in the analysis. This timeframe was selected with two reasons in mind: First, the company Altmetric (and with it the AAS) was founded in 2011, so 2012 constitutes the earliest year with full coverage. Second, since the data collection took place in late 2022, the year 2021 was fully covered in the databases and article citations/online dissemination had already been given some time to accumulate. Citation counts and other metadata for each document were retrieved from the WoS Core Collection database. Impact factors for each journal were retrieved through Clarivate’s Journal Citation Reports (2021 being the most recent data available).AAS data were obtained through the Altmetric API using the documents’ unique Digital Object Identifier. All data were collected between the 13th and 15th of November, 2022.

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)

To assess team composition, we used an existing dataset of survey responses collected from NSF science teams (Settles et al. 2019; https://doi.org/10.3886/E105622V1). Teams and participants were identified using the NSF database of awards (National Science Foundation 2020). We identified a total of 1,727 individuals from 229 interdisciplinary research teams in this database and invited them to participate in an online survey regarding perceptions of team composition (Settles et al. 2019). We included only teams in which two or more individuals participated in the survey in this current dataset (for a total of 50 teams comprised of 182 individuals). To protect the identities of research participants, only team-level variables are shared here.
To determine team bibliometrics, we collected publication information from the NSF online database, including all peer-reviewed scientific journal articles published by the teams and reported on NSF annual reports through 2019. For publication productivity, we used the number of years that each team received grant funding from NSF to calculate an average rate of publications per funding year (i.e., mean number of publications per funding year). For publication impact, we used the InCites Journal Citation Reports database to obtain journal impact factors for each article in the year of publication (Clarivate 2020) and calculated an average impact factor for each team (i.e., mean journal impact factor).

Poor data and code (DAC) sharing undermines open science principles. This study evaluates the stringency of DAC availability policies in high-profile medical journals and identifies policy-practice gaps (PPG) in published articles. DAC availability policies of 931 Q1 medical journals (Clarivate JCR 2021) were evaluated, with PPGs quantified across 3,191 articles from The BMJ, JAMA, NEJM, and The Lancet. Only 9.1% (85/931) of journals mandated DAC sharing and availability statements, with 70.6% of these lacking mechanisms to verify authenticity, and 61.2% allowing publication despite invalid sharing. Secondary analysis revealed a disproportionate distribution of policies across subspecialties, with 18.6% (11/59) of subspecialties having >20% journals with mandated policies. Journal impact factors exhibited positive correlations with the stringency of availability statement policies (ρ = 0.20, p 

Research in protected areas (PAs) is often dominated by scientists from outside the conservation agencies managing them. This can potentially lead to misalignment with local needs, insensitivity to the local context, and a lack of investment in and use of local expertise. These issues often arise when international researchers work in another country without local engagement (known as “parachute science”). Despite PAs being key end-users of actionable science, there is limited understanding of the prevalence and impact of parachute science in these areas. Here, we investigate parachute versus collaborative research in two national parks in the Global South (Kruger National Park, South Africa; Nahuel Huapi National Park, Argentina), and one park from a developed economy (Kakadu National Park, Australia). To explore the prevalence, risks, benefits, and complexities of research practices, we analyse patterns of authorship, funding, and acknowledgment in a random sample of peer-reviewed papers from research conducted in these parks. Our findings show a higher incidence of potential parachute science in Kruger National Park (18% of papers with only out-of-country authors) compared to Nahuel Huapi (4%) and Kakadu (2%) National Parks. However, the occurrence of internationally collaborative research (national and international authors) was double in Global South parks (35-38%) than in the Australian park (18%). The study illustrates the potential benefits of international collaboration for PAs, including increased research productivity, expanded funding sources, and possibly higher impact and visibility of published studies. PAs in developed countries may have fewer opportunities to obtain those benefits. Most papers, even those with in-country authors, lacked authors affiliated with the agency managing the PA, and often failed to even acknowledge these agencies. This suggests the potential for a different form of parachute science (which we term “park parachuting”) in which lack of local involvement may hamper integration of research with management. Synthesis and applications: Establishing conditions that foster collaboration between national and international researchers, and between PA agency staff and external researchers (regardless of their nationality), would enable parks to better serve as catalysts for research collaboration. This collaborative approach can facilitate access to additional funding, enhance research capacity, increase research productivity, and amplify research impact. Methods Literature search strategy and inclusion criteria Literature searches were conducted via the Clarivate Web of Science search facility using the “all databases” (which includes the Web of Science Core Collection, SciELO, BIOSIS Previews and others) and “all editions” options. The search strings consisted of the name of the park [(“Kruger National Park”); (“Nahuel Huapi National Park” OR “Parque Nacional Nahuel Huapi” OR “Lake Nahuel Huapi” OR “Lago Nahuel Huapi”); (“Kakadu National Park”)] and we selected the “topic” as search field. According to Clarivate, the “topic” field searches for the specified search terms in the title, abstract, or keywords, and therefore will miss papers using the park name in the main text only. We restricted the search to journal articles published between 2010 and 2020. Each article was assigned a random number. We then assessed the relevant papers in ascending order until we reached a maximum of 100 relevant papers. Although parachute science practices appear to be more prevalent in publications in English than in those in other languages (Miller et al., 2023), there is a growing awareness of the detrimental effects of ignoring non-English publications (Amano et al., 2021). Therefore, we included papers for Nahuel Huapi published in Spanish (13% of our random sample). To be included, studies needed to be based on research within the park, have made use of data or specimens collected from the park, or have used the park as a case study in descriptive studies. Articles were also included if the park formed a central component in social-ecological studies (e.g., community relationships, human-wildlife conflict or livestock/wildlife diseases around parks). Articles making a passing reference to a park, or referencing research or other papers from a park, were excluded. Data extraction and analysis Metadata for all authors was extracted, including author rank (primary or co-author) and their primary institutional affiliation. Author affiliations were coded based on (i) nationality (country of all authors’ primary affiliation) and (ii) managing agency (whether or not an author was affiliated with the respective national park agency). In addition, the funding sources for the research were extracted; funding sources were most commonly listed within the acknowledgements section (Cronin, 2001; Mejia, & Kajikawa, 2018), or as a separate funding statement. We classified the funding as originating from the country where the national park was located (“national funding”), or from another country (“international funding”). References to non-financial contributions to the research by the park agency, such as logistical support or field assistance, mentioned in the acknowledgements section were also extracted. We did not consider a mention of a park-issued permit as reflecting genuine acknowledgement of engagement, but rather as an acknowledgement of compliance with conditions required to gain access to the parks. To estimate the academic ranking of the journal where research was published and thus the potential academic visibility and reach of a study, we used the Clarivate journal impact factor (2021). In cases where no impact factor was assigned, we recorded a zero. We also calculated the average number of citations per year as a metric of the paper’s uptake and impact in the literature. We calculated this by dividing the total number of citations recorded in Clarivate Web of Science by the number of years since publication up to 2023. References

Amano, T., Rios Rojas, C., Boum II, Y., Calvo, M., & Misra, B.B. (2021). Ten tips for overcoming language barriers in science. Nature Human Behaviour, 5(9), 1119-1122. Cronin, B. (2001). Acknowledgement trends in the research literature of information science. Journal of Documentation, 57(3), 427–433. Mejia, C. & Kajikawa, Y. (2018). Using acknowledgement data to characterize funding organizations by the types of research sponsored: The case of robotics research. Scientometrics, 114 (3), 883–904.

The Journal of pathology Impact Factor 2024-2025 - ResearchHelpDesk - The Journal of Pathology (ISSN-0022-3417) aims to serve as a translational bridge between basic biomedical science and clinical medicine with particular emphasis on, but not restricted to, tissue based studies. The main interests of the Journal lie in publishing studies that further our understanding the pathophysiological and pathogenetic mechanisms of human disease. The Journal welcomes investigative studies on human tissues, in vitro and in vivo experimental studies, and investigations based on animal models with a clear relevance to human disease, including transgenic systems. In general, hypothesis driven studies that appropriately employ multiple investigative techniques are preferred over those that rely on a single methodology. As well as original research papers, the Journal seeks to provide rapid publication in a variety of other formats, including editorials, review articles, commentaries and perspectives and other features, both contributed and solicited. Purely descriptive papers on diagnostic pathology (including case reports and prognostic papers without mechanistic and experimental insights) are not considered central to the Journal’s purpose. Correspondence relating to papers published in the Journal will be considered, but only if of general interest. Such correspondance may be published in online versions only, at the Editor's discretion. In determining content, the primary considerations are excellence, relevance and novelty. As the journal of The Pathological Society, it seeks to reflect the broad scientific interests of the Society’s membership but its ethos, authorship, content and purpose are those expected of a leading publication in the international scientific literature. Abstracting and Indexing Information Abstracts in Anthropology (Sage) Abstracts on Hygiene & Communicable Diseases (CABI) AgBiotech News & Information (CABI) AgBiotechNet (CABI) AGRICOLA Database (National Agricultural Library) Agricultural & Environmental Science Database (ProQuest) Biological Abstracts (Clarivate Analytics) Biological Science Database (ProQuest) BIOSIS Previews (Clarivate Analytics) CAB Abstracts® (CABI) CAS: Chemical Abstracts Service (ACS) Chemical Abstracts Service/SciFinder (ACS) Current Contents: Clinical Medicine (Clarivate Analytics) Current Contents: Life Sciences (Clarivate Analytics) Embase (Elsevier) EORTC Database (European Organisation for Research & Treatment of Cancer) Global Health (CABI) Health & Medical Collection (ProQuest) Health Research Premium Collection (ProQuest) Hospital Premium Collection (ProQuest) Journal Citation Reports/Science Edition (Clarivate Analytics) Materials Science & Engineering Database (ProQuest) MEDLINE/PubMed (NLM) Natural Science Collection (ProQuest) Nematological Abstracts (CABI) Nutrition Abstracts & Reviews Series A: Human & Experimental (CABI) ProQuest Central (ProQuest) PubMed Dietary Supplement Subset (NLM) Review of Medical & Veterinary Mycology (CABI) Science Citation Index (Clarivate Analytics) Science Citation Index Expanded (Clarivate Analytics) SciTech Premium Collection (ProQuest) SCOPUS (Elsevier) Technology Collection (ProQuest) Tropical Diseases Bulletin (CABI) Veterinary Bulletin (CABI) VINITI (All-Russian Institute of Science & Technological Information) Web of Science (Clarivate Analytics)

Data (tab-delimited file .txt) and R code (.r file) supporting the study:Mammola S, Martínez A (2020) Let research on subterranean habitats resonate! Subterranean biology.The database lists 21,486 research articles focused on caves and other subterranean habitats published between 1991 and 2019. The yearly Impact factor of journals is based on the periodical reports by the Journal Citation Reports of Clarivate. See for further details see:Martínez A, Mammola S (2020) Specialized terminology limits the reach of new scientific knowledge. BioRxiv. https://doi.org/10.1101/2020.08.20.258996Variable codes:TI = TitleSO = JournalDT = Article typePY = Publication yearcitations = number of citations in Web of ScienceIF = Impact factor of the journal (based on the PY)

Data from Clarivate Analytics’ National Citation Report for Norway.