6 datasets found
  1. Data from: Journal Ranking Dataset

    • kaggle.com
    Updated Aug 15, 2023
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    Abir (2023). Journal Ranking Dataset [Dataset]. https://www.kaggle.com/datasets/xabirhasan/journal-ranking-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 15, 2023
    Dataset provided by
    Kaggle
    Authors
    Abir
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    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.

  2. Z

    Data articles in journals

    • data.niaid.nih.gov
    Updated Sep 22, 2023
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    Balsa-Sanchez, Carlota (2023). Data articles in journals [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3753373
    Explore at:
    Dataset updated
    Sep 22, 2023
    Dataset provided by
    Balsa-Sanchez, Carlota
    Loureiro, Vanesa
    License

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

    Description

    Version: 5

    Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

    Date of data collection: 2023/09/05

    General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers. File list:

    • data_articles_journal_list_v5.xlsx: full list of 140 academic journals in which data papers or/and software papers could be published
    • data_articles_journal_list_v5.csv: full list of 140 academic journals in which data papers or/and software papers could be published

    Relationship between files: both files have the same information. Two different formats are offered to improve reuse

    Type of version of the dataset: final processed version

    Versions of the files: 5th version - Information updated: number of journals, URL, document types associated to a specific journal.

    Version: 4

    Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

    Date of data collection: 2022/12/15

    General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers. File list:

    • data_articles_journal_list_v4.xlsx: full list of 140 academic journals in which data papers or/and software papers could be published
    • data_articles_journal_list_v4.csv: full list of 140 academic journals in which data papers or/and software papers could be published

    Relationship between files: both files have the same information. Two different formats are offered to improve reuse

    Type of version of the dataset: final processed version

    Versions of the files: 4th version - Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types - Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Journal Citation Reports (JCR) and/or Scimago Journal and Country Rank (SJR), Scopus and Web of Science (WOS), Journal Master List.

    Version: 3

    Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

    Date of data collection: 2022/10/28

    General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers. File list:

    • data_articles_journal_list_v3.xlsx: full list of 124 academic journals in which data papers or/and software papers could be published
    • data_articles_journal_list_3.csv: full list of 124 academic journals in which data papers or/and software papers could be published

    Relationship between files: both files have the same information. Two different formats are offered to improve reuse

    Type of version of the dataset: final processed version

    Versions of the files: 3rd version - Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types - Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Journal Citation Reports (JCR) and/or Scimago Journal and Country Rank (SJR).

    Erratum - Data articles in journals Version 3:

    Botanical Studies -- ISSN 1999-3110 -- JCR (JIF) Q2 Data -- ISSN 2306-5729 -- JCR (JIF) n/a Data in Brief -- ISSN 2352-3409 -- JCR (JIF) n/a

    Version: 2

    Author: Francisco Rubio, Universitat Politècnia de València.

    Date of data collection: 2020/06/23

    General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers. File list:

    • data_articles_journal_list_v2.xlsx: full list of 56 academic journals in which data papers or/and software papers could be published
    • data_articles_journal_list_v2.csv: full list of 56 academic journals in which data papers or/and software papers could be published

    Relationship between files: both files have the same information. Two different formats are offered to improve reuse

    Type of version of the dataset: final processed version

    Versions of the files: 2nd version - Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types - Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Scimago Journal and Country Rank (SJR)

    Total size: 32 KB

    Version 1: Description

    This dataset contains a list of journals that publish data articles, code, software articles and database articles.

    The search strategy in DOAJ and Ulrichsweb was the search for the word data in the title of the journals. Acknowledgements: Xaquín Lores Torres for his invaluable help in preparing this dataset.

  3. j

    Journal Impact Factor Database 2025

    • journalmetrics.org
    json
    Updated Jan 1, 2025
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    Journal Metrics (2025). Journal Impact Factor Database 2025 [Dataset]. https://www.journalmetrics.org/
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 1, 2025
    Dataset authored and provided by
    Journal Metrics
    License

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

    Description

    Comprehensive database of academic journal impact factors, JCR quartiles, and CAS block classifications for 2025.

  4. f

    Dataset.

    • plos.figshare.com
    xlsx
    Updated Nov 22, 2024
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    Bing-Han Shang; Fang-Hui Yang; Yao Lin; Szymon Bialka; Dina Christa Janse van Rensburg; Adriano R. Tonelli; Sheikh Mohammed Shariful Islam; Izumi Kawagoe; Caroline Rhéaume; Kai-Ping Zhang (2024). Dataset. [Dataset]. http://doi.org/10.1371/journal.pone.0305027.s004
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Nov 22, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Bing-Han Shang; Fang-Hui Yang; Yao Lin; Szymon Bialka; Dina Christa Janse van Rensburg; Adriano R. Tonelli; Sheikh Mohammed Shariful Islam; Izumi Kawagoe; Caroline Rhéaume; Kai-Ping Zhang
    License

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

    Description

    BackgroundPrevious research has raised concerns regarding inconsistencies between reported and pre-specified outcomes in randomized controlled trials (RCTs) across various biomedical disciplines. However, studies examining whether similar discrepancies exist in RCTs focusing on gastrointestinal and liver diseases are limited. This study aimed to assess the extent of discrepancies between registered and published primary outcomes in RCTs featured in journals specializing in gastroenterology and hepatology.MethodsWe retrospectively retrieved RCTs published between January 1, 2017 and December 31, 2021 in the top three journals from each quartile ranking of the 2020 Journal Citation Reports within the "Gastroenterology and Hepatology" subcategory. We extracted data on trial characteristics, registration details, and pre-specified versus published primary outcomes. Pre-specified primary outcomes were retrieved from the World Health Organization’s International Clinical Trials Registry Platform. Only trials reporting specific primary outcomes were included in analyzing primary outcome discrepancies. We also assessed whether there was a potential reporting bias that deemed to favor statistically significant outcomes. Statistical analyses included chi-square tests, Fisher’s exact tests, univariate analyses, and logistic regression.ResultsOf 362 articles identified, 312 (86.2%) were registered, and 79.8% of the registrations (249 out of 312) were prospective. Among the 285 trials reporting primary outcomes, 76 (26.7%) exhibited at least one discrepancy between registered and published primary outcomes. The most common discrepancies included different assessment times for the primary outcome (n = 32, 42.1%), omitting the registered primary outcome in publications (n = 21, 27.6%), and reporting the registered secondary outcomes as primary outcomes (n = 13, 17.1%). Univariate analyses revealed that primary outcome discrepancies were lower in the publication year 2020 compared to year 2021 (OR = 0.267, 95% CI: 0.101, 0.706, p = 0.008). Among the 76 studies with primary outcome discrepancies, 20 (26.3%) studies were retrospectively registered, and 32 (57.1%) of the prospectively registered trials with primary outcome discrepancies showed statistically significant results. However, no significant differences were found between journal quartiles regarding primary outcome consistency and potential reporting bias (p = 0.14 and p = 0.28, respectively).ConclusionsThis study highlights the disparities between registered and published primary outcomes in RCTs within gastroenterology and hepatology journals. Attention to factors such as the timing of primary outcome assessments in published trials and the consistency between registered and published primary outcomes is crucial. Enhanced scrutiny from journal editors and peer reviewers during the review process is necessary to ensure the reliability of gastrointestinal and hepatic trials.

  5. Frequency of major discrepancies between registry and publication, by...

    • plos.figshare.com
    xls
    Updated Nov 22, 2024
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    Bing-Han Shang; Fang-Hui Yang; Yao Lin; Szymon Bialka; Dina Christa Janse van Rensburg; Adriano R. Tonelli; Sheikh Mohammed Shariful Islam; Izumi Kawagoe; Caroline Rhéaume; Kai-Ping Zhang (2024). Frequency of major discrepancies between registry and publication, by different journal quartiles. [Dataset]. http://doi.org/10.1371/journal.pone.0305027.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Nov 22, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Bing-Han Shang; Fang-Hui Yang; Yao Lin; Szymon Bialka; Dina Christa Janse van Rensburg; Adriano R. Tonelli; Sheikh Mohammed Shariful Islam; Izumi Kawagoe; Caroline Rhéaume; Kai-Ping Zhang
    License

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

    Description

    Frequency of major discrepancies between registry and publication, by different journal quartiles.

  6. f

    Summaries and cumulative COVID-19 metrics by statewide HPI quartile from Feb...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Mar 6, 2025
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    Ada T. Kwan; Jason Vargo; Caroline Kurtz; Mayuri Panditrao; Christopher M. Hoover; Tomás M. León; David Rocha; William Wheeler; Seema Jain; Erica S. Pan; Priya B. Shete (2025). Summaries and cumulative COVID-19 metrics by statewide HPI quartile from Feb 1, 2020 through Jun 30, 2021. [Dataset]. http://doi.org/10.1371/journal.pone.0316517.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Mar 6, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Ada T. Kwan; Jason Vargo; Caroline Kurtz; Mayuri Panditrao; Christopher M. Hoover; Tomás M. León; David Rocha; William Wheeler; Seema Jain; Erica S. Pan; Priya B. Shete
    License

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

    Description

    By statewide vaccine equity metric (VEM) quartiles.

  7. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Abir (2023). Journal Ranking Dataset [Dataset]. https://www.kaggle.com/datasets/xabirhasan/journal-ranking-dataset
Organization logo

Data from: Journal Ranking Dataset

A dataset of journal ranking based on Scimago, Web of Science, and Scopus.

Related Article
Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Aug 15, 2023
Dataset provided by
Kaggle
Authors
Abir
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

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.

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