37 datasets found
  1. Supplemental data for: Visualization of rank-citation curves for fast...

    • zenodo.org
    Updated Jun 3, 2023
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    Serhii Nazarovets; Serhii Nazarovets (2023). Supplemental data for: Visualization of rank-citation curves for fast detection of possible manipulations with the h-index of the university [Dataset]. http://doi.org/10.5281/zenodo.8001242
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    Dataset updated
    Jun 3, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Serhii Nazarovets; Serhii Nazarovets
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset consists of papers of universities in the top 30 Scopus Ranking of Ukrainian Universities (May 2023). The data was obtained from Scopus using the search query "AF-ID (“university name”) AND PUBYEAR < 2023 AND PUBYEAR > 2002". Rank-citation curves were also generated for the publications of each university. In this analysis, the rank of publications was plotted along the horizontal axis, while the corresponding citation counts were depicted on the left axis. All types of documents were included in the dataset.

  2. h

    Scimago Country Rankings

    • hgxjs.org
    • ausssnews.com
    • +2more
    xlsx
    Updated Apr 18, 2024
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    Scimago Lab (2024). Scimago Country Rankings [Dataset]. http://hgxjs.org/countryrank009c.html
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    xlsxAvailable download formats
    Dataset updated
    Apr 18, 2024
    Dataset authored and provided by
    Scimago Lab
    Description

    Country scientific indicators developed from the information contained in the Scopus® database (Elsevier B.V.). These indicators can be used to assess and analyze scientific domains. Country rankings may be compared or analysed separately. Indicators offered for each country: H Index, Documents, Citations, Citation per Document and Citable Documents.

  3. Library journals ranking 2018

    • figshare.com
    xlsx
    Updated Jun 2, 2023
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    Andrea Marchitelli (2023). Library journals ranking 2018 [Dataset]. http://doi.org/10.6084/m9.figshare.6994412.v3
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    xlsxAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Andrea Marchitelli
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This table lists 38 journals in library and archival sciences, regarding their H-index (as from Google Metrics) and italian evaluation agency ranking.It updates 2016 and 2017 data, at Marchitelli, Andrea (2016): Library journals ranking. figshare.https://doi.org/10.6084/m9.figshare.3487001.v2 and at Marchitelli, Andrea (2017): Library journals ranking. figshare.https://figshare.com/articles/Library_journals_ranking_2017/5188057/1

  4. h

    Scimago Journal Rankings

    • hgxjs.org
    • search.webdepozit.sk
    • +9more
    csv
    Updated Oct 7, 2024
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    Scimago Lab (2024). Scimago Journal Rankings [Dataset]. http://hgxjs.org/journalrank0138.html
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    csvAvailable download formats
    Dataset updated
    Oct 7, 2024
    Dataset authored and provided by
    Scimago Lab
    Description

    Academic journals indicators developed from the information contained in the Scopus database (Elsevier B.V.). These indicators can be used to assess and analyze scientific domains.

  5. Data from: Expert-Driven and Citational Approaches to Assessing Journal...

    • scielo.figshare.com
    jpeg
    Updated Jun 3, 2023
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    Lorena Guadalupe Barberia; Danilo Praxedes Barboza; Samuel Ralize Godoy (2023). Expert-Driven and Citational Approaches to Assessing Journal Publications of Brazilian Political Scientists [Dataset]. http://doi.org/10.6084/m9.figshare.6007787.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Lorena Guadalupe Barberia; Danilo Praxedes Barboza; Samuel Ralize Godoy
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    In this study, we seek to contribute to discussions on how the quality of academic production in the field of political science should be evaluated using Brazil as a case study. We contrast the 'expert-driven approach' that is followed by CAPES, an agency of the Brazilian federal government with the 'citational' approach, which is based on the ranking of journals by mainstream indices of scientific research impact. With data provided by CAPES from 2010 to 2014, we examine to what extent journals that are ranked as having high quality by CAPES also have high impact indexes in the SCImago Journal rank index (SJR), the Hirsch index (h-index) calculated by SCImago, the h5-index and h5-median (based on the h-index period 05 years, calculated by Google Scholar Metrics), and the SNIP indicator (calculated by the CWTS Journal Indicators, included in the Scopus database). Our findings show that there is a positive, but weak correlation between citational criteria and the Qualis evaluation of the same journals. In ordered logistic regressions, we show that a journal's past Qualis scores are the most important factor for explaining its grades in the next evaluation. We show that once a journal's past Qualis score is considered, a journal's citational ranking does not influence its Qualis score with the exception of the SJR in the 2013-4 evaluation. Moreover, a journal's Qualis score is not influenced by the country of publication, language, or social science focus, all else equal.

  6. G

    Study establishing Canada's ranking in the citation score of Canadian...

    • ouvert.canada.ca
    • open.canada.ca
    csv
    Updated Nov 21, 2024
    + more versions
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    Canadian Space Agency (2024). Study establishing Canada's ranking in the citation score of Canadian space-related publications in relation to OECD countries [Dataset]. https://ouvert.canada.ca/data/dataset/a2fc08f1-d847-41c3-a2b5-764c3e0a5813
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    csvAvailable download formats
    Dataset updated
    Nov 21, 2024
    Dataset provided by
    Canadian Space Agency
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    A study was conducted for the Canadian Space Agency by the Science and Technology Observatory (STO). This study presents notwithstanding statistical data on Canadian scientific publications in the OECD, as well as data on Canadian publications by scientific subdomains. In particular, it established Canada's ranking relative to OECD countries in terms of citation score for Canadian space-related publications. The period studied was from 2010 to 2016 and the bibliometric data sources, compiled on an annual basis, come from Web of Science. The data made available concern: - Publications on space by OECD countries - Health and life sciences in space publications - Astronomy publications - Planetary exploration publications - Atmospheric science publications - Earth Surface Sciences publications - Solar-terrestrial sciences publications - Development and engineering of space technologies publications

  7. d

    SJR and PubMed Indexed Medical Journals in 10 Medical Specialties

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 12, 2023
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    Kim, Eungi (2023). SJR and PubMed Indexed Medical Journals in 10 Medical Specialties [Dataset]. http://doi.org/10.7910/DVN/2HRPBF
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    Dataset updated
    Nov 12, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Kim, Eungi
    Description

    This file contains a list of journals used to assess publication productivity of the top 10 countries across medical specialties. For the 10 medical specialties, the journal category of the 2020 Scientific Journal Rankings (SJR) was used. These journals are listed in both and PubMed. Three types of journal lists are included: a) ALL dataset, b) 30H dataset, and c) 30P dataset. For the 10 medical specialties, the ALL dataset contains all journals, the 30H dataset contains 30 journals with the highest h-index scores, and the 30P dataset contains 30 journals with the highest number of published articles. For these journals, the actual bibliographic records could be downloaded from the NIH website (http://nlm.nih.gov/databases/download/pubmed_medline.html).

  8. r

    Nature Communications Acceptance Rate - ResearchHelpDesk

    • researchhelpdesk.org
    Updated May 14, 2022
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    Research Help Desk (2022). Nature Communications Acceptance Rate - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/acceptance-rate/551/nature-communications
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    Dataset updated
    May 14, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Nature Communications Acceptance Rate - ResearchHelpDesk - Nature Communications is an open-access journal that publishes high-quality research from all areas of the natural sciences. Papers published by the journal represent important advances of significance to specialists within each field. Nature Communications is open access, multidisciplinary journal dedicated to publishing high-quality research in all areas of the biological, health, physical, chemical, and Earth sciences. Papers published by the journal aim to represent important advances of significance to specialists within each field. We are committed to providing an efficient service for both authors and readers. Our team of independent editors makes rapid and fair publication decisions. Prompt dissemination of accepted papers to a wide readership and beyond is achieved through a program of continuous online publication. Article and journal metrics Article metrics such as number of downloads, citations and online attention are available from each article page and provide an overview of the attention received by a paper. The 2018 journal metrics for Nature Communications are as follows: 2-year Impact Factor: 11.878 5-year Impact Factor: 13.811 Immediacy Index: 2.107 Eigenfactor® score: 1.10329 Article Influence Score: 5.402 2-year Median: 8 Nature Communications Abstract & Indexing DOAJ, MEDLINE, Web of Science, Scopus and Google Scholar. Nature Communications started in the year 2010 and has been growing ever since. Nature Communications doesn’t have a fixed publishing frequency. Their publishing frequency is continuous and upon acceptance. They have a very strict acceptance rate of 7.7%. They get over 50,000+ submissions every year. Nature Communications Article-processing charges Nature Communications is an open-access journal. To publish in Nature Communications, authors are required to pay an article-processing charge (APC). The APC for all published papers is as follows, plus VAT or local taxes where applicable: £3,790 (UK) $5,380 (The Americas, China, and Japan) €4,380 (Europe and rest of world) Nature communications ranking Title Type SJR H index Total Docs. (2018) Total Docs. (3years) Total Refs. (2018) Total Cites (3years) Citable Docs. (3years) Cites / Doc. (2years) Ref. / Doc. (2018) Nature Communications journal 5.992 Q1 248 5664 11692 273530 141425 10983 11.80 48.29 Nature communications details Country: United Kingdom H Index: 248 Subject Area and Category: Biochemistry, Genetics, and Molecular Biology, Biochemistry, Genetics and Molecular Biology (miscellaneous), Chemistry, Chemistry (miscellaneous), Physics and Astronomy, Physics and Astronomy (miscellaneous) Publisher: Nature Publishing Group Publication Type: Journals ISSN: 20411723 Coverage: 2010-ongoing

  9. Z

    Data set of the article: Ranking by relevance and citation counts, a...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jan 24, 2020
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    Carlos Lopezosa (2020). Data set of the article: Ranking by relevance and citation counts, a comparative study: Google Scholar, Microsoft Academic, WoS and Scopus [Dataset]. https://data.niaid.nih.gov/resources?id=ZENODO_3381150
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    Dataset updated
    Jan 24, 2020
    Dataset provided by
    Carlos Lopezosa
    Cristòfol Rovira
    Lluís Codina
    Frederic Guerrero-Solé
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Data of investigation published in the article "Ranking by relevance and citation counts, a comparative study: Google Scholar, Microsoft Academic, WoS and Scopus".

    Abstract of the article:

    Search engine optimization (SEO) constitutes the set of methods designed to increase the visibility of, and the number of visits to, a web page by means of its ranking on the search engine results pages. Recently, SEO has also been applied to academic databases and search engines, in a trend that is in constant growth. This new approach, known as academic SEO (ASEO), has generated a field of study with considerable future growth potential due to the impact of open science. The study reported here forms part of this new field of analysis. The ranking of results is a key aspect in any information system since it determines the way in which these results are presented to the user. The aim of this study is to analyse and compare the relevance ranking algorithms employed by various academic platforms to identify the importance of citations received in their algorithms. Specifically, we analyse two search engines and two bibliographic databases: Google Scholar and Microsoft Academic, on the one hand, and Web of Science and Scopus, on the other. A reverse engineering methodology is employed based on the statistical analysis of Spearman’s correlation coefficients. The results indicate that the ranking algorithms used by Google Scholar and Microsoft are the two that are most heavily influenced by citations received. Indeed, citation counts are clearly the main SEO factor in these academic search engines. An unexpected finding is that, at certain points in time, WoS used citations received as a key ranking factor, despite the fact that WoS support documents claim this factor does not intervene.

  10. f

    Nature Index AC/FC ranking in the dataset.

    • plos.figshare.com
    bin
    Updated Jun 13, 2023
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    Masanao Ochi; Masanori Shiro; Jun’ichiro Mori; Ichiro Sakata (2023). Nature Index AC/FC ranking in the dataset. [Dataset]. http://doi.org/10.1371/journal.pone.0274253.t006
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    binAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Masanao Ochi; Masanori Shiro; Jun’ichiro Mori; Ichiro Sakata
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Nature Index AC/FC ranking in the dataset.

  11. Los nuevos índices de citas de Thomson Reuters ofrecen nuevas oportunidades...

    • figshare.com
    xlsx
    Updated Jan 19, 2016
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    Nicolas Robinson-garcia; Daniel Torres-Salinas (2016). Los nuevos índices de citas de Thomson Reuters ofrecen nuevas oportunidades para crear rankings de universidades [Dataset]. http://doi.org/10.6084/m9.figshare.1287652.v1
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    xlsxAvailable download formats
    Dataset updated
    Jan 19, 2016
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Nicolas Robinson-garcia; Daniel Torres-Salinas
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Research output of countries and Spanish universities for the 2010-2014 period according to Thomson Reuters' citation indexes: SCI, SSCI, A&HCI, CPCI, BKCI, DCI

  12. d

    Data from: Evolving patterns of extreme publishing behavior across science

    • elsevier.digitalcommonsdata.com
    Updated Jun 3, 2024
    + more versions
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    Thomas Collins (2024). Evolving patterns of extreme publishing behavior across science [Dataset]. http://doi.org/10.17632/kmyvjk3xmd.2
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    Dataset updated
    Jun 3, 2024
    Authors
    Thomas Collins
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Author information for: Hyperprolific physics authors by year 2000-2022 inclusive. Author needs to have 73 or more publications in a year to qualify and their main field from 2000 to 2022 is Physics & Astronomy Hyperprolific non-physics authors by year 2000-2022 inclusive. Author needs to have 73 or more publications in a year to qualify and their main field from 2000 to 2022 must not be Physics & Astronomy Almost Hyperprolific physics authors by year 2000-2022 inclusive. Author needs to have between 61 and 72 publications in a year to qualify and their main field from 2000 to 2022 is Physics & Astronomy Almost Hyperprolific non-physics authors by year 2000-2022 inclusive. Author needs to have between 61 and 72 publications in a year to qualify and their main field from 2000 to 2022 must not be Physics & Astronomy Data: year - The year of publication of the articles, reviews, and conference proceedings analyzed in this study author_field - The primary field assigned to the author based upon publications and share of publications in the field field - The ScienceMetrix field classification of the journal the publication appears in Pubs_in_field_year - Total number of publications by the author in the given year in the given field Pubs_year_total - Total number of publications by the author in the given year Pubs_in_field_2000_2022 - Total number of publications by the author in the period 2000 to 2022 in the given field, Pubs_2000_2022_total - Total number of publications by the author in the period 2000 to 2022 rank - The author's rank, within their SM subfield, based on citation count rank (ns) - The author's rank, within their SM subfield, based on citation count with self citations excluded sm-subfield-1 - The author's SM subfield rank sm-subfield-1 - The author's rank, within their SM subfield, based upon their citation score rank sm-subfield-1 (ns) - The author's rank, within their SM subfield, based upon their citation score excluding self citations sm-subfield-1 count - The number of authors in the SM subfield Subfield_Percentile - 100 * rank/count Subfield_Percentile_ns - 100 * rank (ns)/count author_name - Author's name from their Scopus Author Profile hidx - The author's career H-Index affil_name - The name of the author's most recent affiliation cntry - The country of the author's most recent affiliation Total_Pubs - The number of articles, reviews, and conference proceedings from the affiliation in the period Pubs_with_more_than_100_authors - The number of articles, reviews, and conference proceedings from the affiliation in the period with more than 100 authors Pubs_with_more_than_500_authors - The number of articles, reviews, and conference proceedings from the affiliation in the period with more than 500 authors Pubs_with_more_than_1000_authors - The number of articles, reviews, and conference proceedings from the affiliation in the period with more than 1000 authors

  13. f

    Citation-based ranking indicators used in our study, and equivalents found...

    • plos.figshare.com
    xls
    Updated Feb 15, 2024
    + more versions
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    Sandra Boric; Gerhard Reichmann; Christian Schlögl (2024). Citation-based ranking indicators used in our study, and equivalents found in international university ranking systems. [Dataset]. http://doi.org/10.1371/journal.pone.0295334.t003
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    xlsAvailable download formats
    Dataset updated
    Feb 15, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Sandra Boric; Gerhard Reichmann; Christian Schlögl
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Citation-based ranking indicators used in our study, and equivalents found in international university ranking systems.

  14. r

    Indian journal of pharmaceutical sciences Acceptance Rate - ResearchHelpDesk...

    • researchhelpdesk.org
    Updated Feb 15, 2022
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    Research Help Desk (2022). Indian journal of pharmaceutical sciences Acceptance Rate - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/acceptance-rate/542/indian-journal-of-pharmaceutical-sciences
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    Dataset updated
    Feb 15, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Indian journal of pharmaceutical sciences Acceptance Rate - ResearchHelpDesk - Indian Journal of Pharmaceutical Sciences (0250-474X), is the official scientific publication of the Indian Pharmaceutical Association. It started in 1939 as the Indian Journal of Pharmacy. the journal is published Bimonthly. Abstracting and Indexing Information The journal is included in the following Abstracting / Indexing services: Biosis Preview, Chemical Abstract Service (CAS), CNKI (China National Knowledge Infrastructure), Centre for Agriculture and Biosciences International (CABI), Cite Factor, EBSCO A-Z, Ex-Libris, Hamdard University, Journal TOCs, JournalSeek, Journal Citation Reports, Open J Gate, Publons, Proquest Summons, Refseek, Secret Search Engine Labs, Sherpa Romeo, SCOPUS, Science Citation Index Expanded, SJR (Scimago Journal and Country Rank), UGC (University Grants Commission), Ulrich Periodical Directory, World Cat - OCLC and Web of Science. Journal Ethics The Indian Journal of Pharmacy started in 1939 as "a quarterly journal devoted to the Science and practice of Pharmacy in all its branches". The Chief Editor and the main guiding force behind the 'Journal' was Prof. M. L. Schroff, Head of the Department of Pharmaceutics, Benaras Hindu University, Benaras. Owing to various difficulties experienced in publishing the 'Journal" at Benaras, the Council of IPA decided in 1946 to entrust the task to its Bombay Branch, and to transfer the editorial and publication offices to Bombay. Prof. M. L. Khorana, Head of the Pharmaceuticals Section, Department of Chemical Technology, Bombay University was requested to take the Editorship. In 1949 it was decided to publish this journal bi-monthly instead of quarterly. Soon after from January 1950 this journal started coming out as a monthly periodical. While Mr. S. P. Mukherji worked as Assistant Editor from 1946 to 1952, in May 1950 Mr. N. S. Bhunvara joined as the second Assistant Editor. The Headquarters of the IPA was shifted to Bombay with effect from 1st January 1953 and this helped considerably the publication of this journal and its circulation to members. Prof. Khorana resigned as Editor of the journal with effect from 1 January 1954 and Dr. G. B. Ramasarma succeeded him as the Editor and Mr. A. I. Mehta and Dr. R. S. Baichwal joined as Assistant Editors. In 1955 July, the journal’s office together with those of the Association and the Bombay State Branch was shifted from U. D. C. T., Matunga to Kalam Kutir 213-219, Frere Road, Bombay - 1. From 1959, Mr. L. S. Patel joined as the third Assistant Editor. In 1963, the Indian Journal of Pharmacy celebrated its Silver Jubilee. A detailed history of the Journal was published in the journal (IJP, 1963, 25, 8-17). The year 1969 represented an important milestone in the history of IJP. From this year it changed its character from that of “the official publication” of the IPA to that of "the official scientific publication" of the association. Publication of professional and other general articles and Association News was taken over by a new monthly periodical called "Pharma Times" with Mr. A. I. Mehta as its Editor. The IJP became an exclusively scientific journal and the frequency of its publication was reduced to that of a bimonthly. Dr. R. S. Baichwal took over as the first Editor of this Journal. In 1979 the name of IJP was expanded to the 'Indian Journal of Pharmaceutical Sciences'. In 1986, Dr. C. L. Kaul joined as the Associated Editor, went on to become the Editor in 1992, and continued till 1996. Dr. Rao V. S. V. Vadlamudi joined the editorial team as the Associate Editor in 1994, became the Editor in 1996, and continued till 2013. Dr. Divakar Goli is elected as the Editor for IJPS in 2014 and continues till date. The journal changed its get-up in 2000 and became online in 2006 with the journal website www.ijpsonline.com. Currently it is available as a print version with a circulation of about 800 and also available online. Indian Pharmaceutical Association The Indian Pharmaceutical Association (IPA) is the oldest premier association of pharmaceutical professionals in India, with a member base of over 13,000, spread across the length and breadth of the country. IPA operates in India through 20 state branches and more than 45 local branches. The members represent various facets of pharmaceutical profession viz., industry, regulatory, community and hospital pharmacy practices, and education. As a member of the Drug Technical Advisory Board, India, IPA is actively involved in advising the government on matters of professional importance. IPA is affiliated with international pharma associations like FIP, FAPA, CPA, AAPS, AAiPS, IPSF and is working with international bodies such as WHO and WHPA for carrying out various collaborative professional activities that include organizing training programs for professionals from industry, academics, regulatory and practice. IPA makes representations to the authorities on matters of professional interest and works constantly towards upgrading the standards of pharmacy professional services offered by the pharmacists. IPA’s major objective is to position pharmacists as one of the important healthcare providers in our country. The IPA is committed to promote the highest professional and ethical standards of pharmacy, focus the image of pharmacists as competent healthcare professionals, sensitize the community, government, and others on vital professional issues and support pharmaceutical education and sciences in all aspects. RG Journal Impact: 0.15 * *This value is calculated using ResearchGate data and is based on average citation counts from work published in this journal. The data used in the calculation may not be exhaustive. RG Journal impact history 2020 Available summer 2021 2018 / 2019 0.15 2017 0.50 2016 0.35 2015 1.21 2014 1.04 2013 0.46 2012 0.82 2011 0.05 2010 0.22 2009 0.69 2008 0.56 2007 0.28 2006 0.55 2005 0.14 2002 0.19 The Indian Journal of Pharmacy Details Indian Journal of Pharmacy H Index: 50 Publication Type: Journals Coverage: 1978-ongoing Subject Area and Category Pharmacology, Toxicology and Pharmaceutics, Pharmaceutical Science Pharmaceutical Technology, Pharmaceutics, Biopharmaceutics, Pharmacokinetics, Pharmaceutical/Medicinal Chemistry, Computational Chemistry and Molecular Drug Design, Pharmacognosy and Phytochemistry, Pharmacology and Therapeutics, Pharmaceutical Analysis, Pharmacy Practice, Clinical and Hospital Pharmacy, Pharmacovigilance, Pharmacoepidemiology, Pharmacoeconomics, Drug Information, Patient Counselling, Adverse Drug Reactions Monitoring, Medication Errors, Medication Optimization, Medication Therapy Management, Cell Biology, Genomics and Proteomics, Pharmacogenomics, Bioinformatics and Biotechnology of Pharmaceutical Interest

  15. Z

    An analysis of the current overlay journals

    • data.niaid.nih.gov
    • zenodo.org
    Updated Oct 18, 2022
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    Rousi, Antti M. (2022). An analysis of the current overlay journals [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_6420517
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    Dataset updated
    Oct 18, 2022
    Dataset provided by
    Laakso, Mikael
    Rousi, Antti M.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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).

  16. r

    Journal of Business Ethics Acceptance Rate - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Feb 15, 2022
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    Research Help Desk (2022). Journal of Business Ethics Acceptance Rate - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/acceptance-rate/546/journal-of-business-ethics
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    Dataset updated
    Feb 15, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Journal of Business Ethics Acceptance Rate - ResearchHelpDesk - The Journal of Business Ethics publishes only original articles from a wide variety of methodological and disciplinary perspectives concerning ethical issues related to business that bring something new or unique to the discourse in their field. Since its initiation in 1980, the editors have encouraged the broadest possible scope. The term business' is understood in a wide sense to include all systems involved in the exchange of goods and services, whileethics' is circumscribed as all human action aimed at securing a good life. Systems of production, consumption, marketing, advertising, social and economic accounting, labor relations, public relations, and organizational behavior are analyzed from a moral viewpoint. The style and level of dialogue involve all who are interested in business ethics - the business community, universities, government agencies, and consumer groups. Speculative philosophy as well as reports of empirical research are welcomed. In order to promote a dialogue between the various interested groups as much as possible, papers are presented in a style relatively free of specialist jargon. FT 50 - This journal is one of the 50 journals used by the Financial Times in compiling the prestigious Business School research rank Thomson Reuters Journal Citation Reports® Ranking by Category Ethics 2/54 Business 33/147 Abstracted and indexed in ABS Academic Journal Quality Guide Australian Business Deans Council (ABDC) Journal Quality List CNKI Current Contents / Social & Behavioral Sciences EBSCO Book Review Digest Plus EBSCO Business Abstracts with Full Text EBSCO Business Source EBSCO Discovery Service EBSCO Education EBSCO Education Source EBSCO Health Business EBSCO Management Collection EBSCO Nonprofit Organization Reference Center EBSCO OmniFile ECONIS ERIH PLUS Gale Gale Academic OneFile Gale InfoTrac Google Scholar Institute of Scientific and Technical Information of China JSTOR Journal Citation Reports/Social Sciences Edition Naver OCLC WorldCat Discovery Service PhilPapers ProQuest ABI/INFORM ProQuest Art, Design and Architecture Collection ProQuest Arts & Humanities Database ProQuest Arts Premium Collection ProQuest Business Premium Collection ProQuest Central ProQuest Health Research Premium Collection ProQuest Politics Collection ProQuest Psychology Database ProQuest Social Science Collection ProQuest-ExLibris Primo ProQuest-ExLibris Summon PsycINFO Psyndex Research Papers in Economics (RePEc) SCImago SCOPUS Social Science Citation Index Journal of Business Ethics - RG Journal Impact: 1.54 * *This value is calculated using ResearchGate data and is based on average citation counts from work published in this journal. The data used in the calculation may not be exhaustive. RG Journal impact history 2020 Available summer 2021 2018 / 2019 1.54 2017 1.51 2016 1.49 2015 2.63 2014 2.72 2013 2.98 2012 2.79 2011 2.22 2010 2.18 2009 1.76 2008 2.32 2007 1.46 2006 1.23 2005 1.35 2004 1.08 2003 1.11 2002 1.04 2001 0.83 2000 1.12 Additional details of Journal of Business Ethics Cited half-life 7.30 Immediacy index 0.17 Eigenfactor 0.01 Article influence 0.31 Website description Journal of Business Ethics website Other titles Journal of business ethics, JBE, J.B.E., JoBE Publication type Journals ISSN 0167-4544 OCLC 8398838 Coverage 1982-ongoing Material type Periodical, Internet resource Document type Journal / Magazine / Newspaper, Internet Resource Journal of Business Ethics - Scimago Details

  17. Top 100-Ranked Clinical Journals' Preprint Policies as of April 23, 2020

    • data.niaid.nih.gov
    • zenodo.org
    • +1more
    zip
    Updated Sep 6, 2020
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    Dorothy Massey; Joshua Wallach; Joseph Ross; Michelle Opare; Harlan Krumholz (2020). Top 100-Ranked Clinical Journals' Preprint Policies as of April 23, 2020 [Dataset]. http://doi.org/10.5061/dryad.jdfn2z38f
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    zipAvailable download formats
    Dataset updated
    Sep 6, 2020
    Dataset provided by
    Yale School of Public Health
    Yale University
    Yale New Haven Hospital
    Authors
    Dorothy Massey; Joshua Wallach; Joseph Ross; Michelle Opare; Harlan Krumholz
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Objective: To determine the top 100-ranked (by impact factor) clinical journals' policies toward publishing research previously published on preprint servers (preprints).

    Design: Cross sectional. Main outcome measures: Editorial guidelines toward preprints, journal rank by impact factor.

    Results: 86 (86%) of the journals examined will consider papers previously published as preprints (preprints), 13 (13%) determine their decision on a case-by-case basis, and 1 (1%) does not allow preprints.

    Conclusions: We found wide acceptance of publishing preprints in the clinical research community, although researchers may still face uncertainty that their preprints will be accepted by all of their target journals.

    Methods We examined journal policies of the 100 top-ranked clinical journals using the 2018 impact factors as reported by InCites Journal Citation Reports (JCR). First, we examined all journals with an impact factor greater than 5, and then we manually screened by title and category do identify the first 100 clinical journals. We included only those that publish original research. Next, we checked each journal's editorial policy on preprints. We examined, in order, the journal website, the publisher website, the Transpose Database, and the first 10 pages of a Google search with the journal name and the term "preprint." We classified each journal's policy, as shown in this dataset, as allowing preprints, determining based on preprint status on a case-by-case basis, and not allowing any preprints. We collected data on April 23, 2020.

    (Full methods can also be found in previously published paper.)

  18. BIP! DB: A Dataset of Impact Measures for Research Products

    • zenodo.org
    • explore.openaire.eu
    application/gzip
    Updated Jan 19, 2024
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    Thanasis Vergoulis; Thanasis Vergoulis; Ilias Kanellos; Ilias Kanellos; Claudio Atzori; Claudio Atzori; Andrea Mannocci; Andrea Mannocci; Serafeim Chatzopoulos; Serafeim Chatzopoulos; Sandro La Bruzzo; Sandro La Bruzzo; Natalia Manola; Paolo Manghi; Paolo Manghi; Natalia Manola (2024). BIP! DB: A Dataset of Impact Measures for Research Products [Dataset]. http://doi.org/10.5281/zenodo.10478958
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    application/gzipAvailable download formats
    Dataset updated
    Jan 19, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Thanasis Vergoulis; Thanasis Vergoulis; Ilias Kanellos; Ilias Kanellos; Claudio Atzori; Claudio Atzori; Andrea Mannocci; Andrea Mannocci; Serafeim Chatzopoulos; Serafeim Chatzopoulos; Sandro La Bruzzo; Sandro La Bruzzo; Natalia Manola; Paolo Manghi; Paolo Manghi; Natalia Manola
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 3, 2023
    Description

    This dataset contains citation-based impact indicators (a.k.a, "measures") for ~168.8M distinct PIDs (persistent identifiers) that correspond to research products (scientific publications, datasets, etc). In particular, for each PID, we have calculated the following indicators (organized in categories based on the semantics of the impact aspect that they better capture):

    Influence indicators (i.e., indicators of the "total" impact of each research product; how established it is in general)

    Citation Count: The total number of citations of the product, the most well-known influence indicator.

    PageRank score: An influence indicator based on the PageRank [1], a popular network analysis method. PageRank estimates the influence of each product based on its centrality in the whole citation network. It alleviates some issues of the Citation Count indicator (e.g., two products with the same number of citations can have significantly different PageRank scores if the aggregated influence of the products citing them is very different - the product receiving citations from more influential products will get a larger score).

    Popularity indicators (i.e., indicators of the "current" impact of each research product; how popular the product is currently)

    RAM score: A popularity indicator based on the RAM [2] method. It is essentially a Citation Count where recent citations are considered as more important. This type of "time awareness" alleviates problems of methods like PageRank, which are biased against recently published products (new products need time to receive a number of citations that can be indicative for their impact).

    AttRank score: A popularity indicator based on the AttRank [3] method. AttRank alleviates PageRank's bias against recently published products by incorporating an attention-based mechanism, akin to a time-restricted version of preferential attachment, to explicitly capture a researcher's preference to examine products which received a lot of attention recently.

    Impulse indicators (i.e., indicators of the initial momentum that the research product received right after its publication)

    Incubation Citation Count (3-year CC): This impulse indicator is a time-restricted version of the Citation Count, where the time window length is fixed for all products and the time window depends on the publication date of the product, i.e., only citations 3 years after each product's publication are counted.

    More details about the aforementioned impact indicators, the way they are calculated and their interpretation can be found here and in the respective references (e.g., in [5]).

    From version 5.1 onward, the impact indicators are calculated in two levels:

    • The PID level (assuming that each PID corresponds to a distinct research product).
    • The OpenAIRE-id level (leveraging PID synonyms based on OpenAIRE's deduplication algorithm [4] - each distinct article has its own OpenAIRE id).

    Previous versions of the dataset only provided the scores at the PID level.

    From version 12 onward, two types of PIDs are included in the dataset: DOIs and PMIDs (before that version, only DOIs were included).

    Also, from version 7 onward, for each product in our files we also offer an impact class, which informs the user about the percentile into which the product score belongs compared to the impact scores of the rest products in the database. The impact classes are: C1 (in top 0.01%), C2 (in top 0.1%), C3 (in top 1%), C4 (in top 10%), and C5 (in bottom 90%).

    Finally, before version 10, the calculation of the impact scores (and classes) was based on a citation network having one node for each product with a distinct PID that we could find in our input data sources. However, from version 10 onward, the nodes are deduplicated using the most recent version of the OpenAIRE article deduplication algorithm. This enabled a correction of the scores (more specifically, we avoid counting citation links multiple times when they are made by multiple versions of the same product). As a result, each node in the citation network we build is a deduplicated product having a distinct OpenAIRE id. We still report the scores at PID level (i.e., we assign a score to each of the versions/instances of the product), however these PID-level scores are just the scores of the respective deduplicated nodes propagated accordingly (i.e., all version of the same deduplicated product will receive the same scores). We have removed a small number of instances (having a PID) that were assigned (by error) to multiple deduplicated records in the OpenAIRE Graph.

    For each calculation level (PID / OpenAIRE-id) we provide five (5) compressed CSV files (one for each measure/score provided) where each line follows the format "identifier

    From version 9 onward, we also provide topic-specific impact classes for PID-identified products. In particular, we associated those products with 2nd level concepts from OpenAlex; we chose to keep only the three most dominant concepts for each product, based on their confidence score, and only if this score was greater than 0.3. Then, for each product and impact measure, we compute its class within its respective concepts. We provide finally the "topic_based_impact_classes.txt" file where each line follows the format "identifier

    The data used to produce the citation network on which we calculated the provided measures have been gathered from the OpenAIRE Graph v7.0.0, including data from (a) OpenCitations' COCI & POCI dataset, (b) MAG [6,7], and (c) Crossref. The union of all distinct citations that could be found in these sources have been considered. In addition, versions later than v.10 leverage the filtering rules described here to remove from the dataset PIDs with problematic metadata.

    References:

    [1] R. Motwani L. Page, S. Brin and T. Winograd. 1999. The PageRank Citation Ranking: Bringing Order to the Web. Technical Report. Stanford InfoLab.

    [2] Rumi Ghosh, Tsung-Ting Kuo, Chun-Nan Hsu, Shou-De Lin, and Kristina Lerman. 2011. Time-Aware Ranking in Dynamic Citation Networks. In Data Mining Workshops (ICDMW). 373–380

    [3] I. Kanellos, T. Vergoulis, D. Sacharidis, T. Dalamagas, Y. Vassiliou: Ranking Papers by their Short-Term Scientific Impact. CoRR abs/2006.00951 (2020)

    [4] P. Manghi, C. Atzori, M. De Bonis, A. Bardi, Entity deduplication in big data graphs for scholarly communication, Data Technologies and Applications (2020).

    [5] I. Kanellos, T. Vergoulis, D. Sacharidis, T. Dalamagas, Y. Vassiliou: Impact-Based Ranking of Scientific Publications: A Survey and Experimental Evaluation. TKDE 2019 (early access)

    [6] Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang. 2015. An Overview of Microsoft Academic Service (MA) and Applications. In Proceedings of the 24th International Conference on World Wide Web (WWW '15 Companion). ACM, New York, NY, USA, 243-246. DOI=http://dx.doi.org/10.1145/2740908.2742839

    [7] K. Wang et al., "A Review of Microsoft Academic Services for Science of Science Studies", Frontiers in Big Data, 2019, doi: 10.3389/fdata.2019.00045

    Find our Academic Search Engine built on top of these data here. Further note, that we also provide all calculated scores through BIP! Finder's API.

    Terms of use: These data are provided "as is", without any warranties of any kind. The data are provided under the Creative Commons Attribution 4.0 International license.

    More details about BIP! DB can be found in our relevant peer-reviewed publication:

    Thanasis Vergoulis, Ilias Kanellos, Claudio Atzori, Andrea Mannocci, Serafeim Chatzopoulos, Sandro La Bruzzo, Natalia Manola, Paolo Manghi: BIP! DB: A Dataset of Impact Measures for Scientific Publications. WWW (Companion Volume) 2021: 456-460

    We kindly request that any published research that makes use of BIP! DB cite the above article.

  19. r

    ✅ Nature Communications ISSN - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Feb 23, 2022
    + more versions
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    Research Help Desk (2022). ✅ Nature Communications ISSN - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/issn/551/nature-communications
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    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    ✅ Nature Communications ISSN - ResearchHelpDesk - Nature Communications is an open-access journal that publishes high-quality research from all areas of the natural sciences. Papers published by the journal represent important advances of significance to specialists within each field. Nature Communications is open access, multidisciplinary journal dedicated to publishing high-quality research in all areas of the biological, health, physical, chemical, and Earth sciences. Papers published by the journal aim to represent important advances of significance to specialists within each field. We are committed to providing an efficient service for both authors and readers. Our team of independent editors makes rapid and fair publication decisions. Prompt dissemination of accepted papers to a wide readership and beyond is achieved through a program of continuous online publication. Article and journal metrics Article metrics such as number of downloads, citations and online attention are available from each article page and provide an overview of the attention received by a paper. The 2018 journal metrics for Nature Communications are as follows: 2-year Impact Factor: 11.878 5-year Impact Factor: 13.811 Immediacy Index: 2.107 Eigenfactor® score: 1.10329 Article Influence Score: 5.402 2-year Median: 8 Nature Communications Abstract & Indexing DOAJ, MEDLINE, Web of Science, Scopus and Google Scholar. Nature Communications started in the year 2010 and has been growing ever since. Nature Communications doesn’t have a fixed publishing frequency. Their publishing frequency is continuous and upon acceptance. They have a very strict acceptance rate of 7.7%. They get over 50,000+ submissions every year. Nature Communications Article-processing charges Nature Communications is an open-access journal. To publish in Nature Communications, authors are required to pay an article-processing charge (APC). The APC for all published papers is as follows, plus VAT or local taxes where applicable: £3,790 (UK) $5,380 (The Americas, China, and Japan) €4,380 (Europe and rest of world) Nature communications ranking Title Type SJR H index Total Docs. (2018) Total Docs. (3years) Total Refs. (2018) Total Cites (3years) Citable Docs. (3years) Cites / Doc. (2years) Ref. / Doc. (2018) Nature Communications journal 5.992 Q1 248 5664 11692 273530 141425 10983 11.80 48.29 Nature communications details Country: United Kingdom H Index: 248 Subject Area and Category: Biochemistry, Genetics, and Molecular Biology, Biochemistry, Genetics and Molecular Biology (miscellaneous), Chemistry, Chemistry (miscellaneous), Physics and Astronomy, Physics and Astronomy (miscellaneous) Publisher: Nature Publishing Group Publication Type: Journals ISSN: 20411723 Coverage: 2010-ongoing

  20. H

    Replication Data for: A Study for Scholarly Impacts of International...

    • dataverse.harvard.edu
    • search.datacite.org
    Updated Nov 20, 2019
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    Ali Balci; Filiz Cicioglu; Duygu Kalkan (2019). Replication Data for: A Study for Scholarly Impacts of International Relations Academics and Departments in Turkey through Google Scholar Data [Dataset]. http://doi.org/10.7910/DVN/EZTVWV
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 20, 2019
    Dataset provided by
    Harvard Dataverse
    Authors
    Ali Balci; Filiz Cicioglu; Duygu Kalkan
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Türkiye
    Description

    Since computers revealed the possibility to collect and evaluate large data, there has been a significant increase in studies measuring the impact of academics. This study aims to analyse International Relations scholars and departments in Turkey by using the data from Google Scholar citation counts. Through this measurement, the study will generate a new ranking list as alternative to existing measurement lists. To control outcomes, Google-generated ranking lists will be compared with data generated from Social Science Citation Index (SSCI). Thus, the study aims to make a data-based contribution to the quality assessment literature, which has become increasingly popular in Turkey. Günümüzde bilgisayarlar geniş verileri toplama ve değerlendirme imkanını ortaya çıkarınca, akademisyenlerin etkisini ölçmeyi hedefleyen çalışmalarda ciddi bir artış oldu. Elinizdeki çalışma da Google Scholar (GS) atıf sayısı verileri üzerinden Türkiye’deki Uluslararası İlişkiler akademisyenlerini ve bölümlerini analiz etmeyi hedeflemektedir. Yapılacak bu analiz ile, mevcut ölçme listelerine alternatif olarak akademisyen ve bölümlerin yeni bir sıralanması ortaya konulmaktadır. GS verilerinden hareketle elde edilen sonuçlar, kontrol amacıyla Social Science Citation Index (SSCI) veri tabanından derlenen makale sayıları ve atıflar ile karşılaştırılmıştır. Böylelikle çalışma Türkiye özelinde gittikçe kapsamlı bir hale gelen nitelik değerlendirme literatürüne verilere dayalı bir katkı yapmayı hedeflemektedir

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Serhii Nazarovets; Serhii Nazarovets (2023). Supplemental data for: Visualization of rank-citation curves for fast detection of possible manipulations with the h-index of the university [Dataset]. http://doi.org/10.5281/zenodo.8001242
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Supplemental data for: Visualization of rank-citation curves for fast detection of possible manipulations with the h-index of the university

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Dataset updated
Jun 3, 2023
Dataset provided by
Zenodohttp://zenodo.org/
Authors
Serhii Nazarovets; Serhii Nazarovets
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

This dataset consists of papers of universities in the top 30 Scopus Ranking of Ukrainian Universities (May 2023). The data was obtained from Scopus using the search query "AF-ID (“university name”) AND PUBYEAR < 2023 AND PUBYEAR > 2002". Rank-citation curves were also generated for the publications of each university. In this analysis, the rank of publications was plotted along the horizontal axis, while the corresponding citation counts were depicted on the left axis. All types of documents were included in the dataset.

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