100+ datasets found
  1. Data from: Latin American and Caribbean journals indexed in Google Scholar...

    • zenodo.org
    Updated Nov 16, 2021
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    Fabio Lorensi do Canto; Fabio Lorensi do Canto; Adilson Luiz Pinto; Adilson Luiz Pinto; Edson Mário Gavron; Edson Mário Gavron; Marcos Talau; Marcos Talau (2021). Latin American and Caribbean journals indexed in Google Scholar Metrics [Dataset]. http://doi.org/10.5281/zenodo.5704895
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    Dataset updated
    Nov 16, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Fabio Lorensi do Canto; Fabio Lorensi do Canto; Adilson Luiz Pinto; Adilson Luiz Pinto; Edson Mário Gavron; Edson Mário Gavron; Marcos Talau; Marcos Talau
    License

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

    Area covered
    Latin America, Caribbean
    Description

    Dataset from a study aiming to analyze the coverage of Latin American and Caribbean journals in Google Scholar Metrics (GSM). Data from 8,205 journals from 24 countries of the region were downloaded from Latindex database. A Python script was used for automated title search and data extraction (titles, h5-index, h5-median, URLs) in GSM. For the journals not found, a manual search was carried out, with attempts by variations of the title. It was found 3,070 journals indexed in GSM, which corresponds to 37.42% of the Latindex list. The search was performed on the 2021 edition of GSM, which considers articles published between 2016 and 2020 and citations registered until July 2021. The number of all types of documents published (productivity) in the h5-index period (2016-2020) in Scopus, Journal Citation Reports, and SciELO of 1,314 journals was also identified.

    The present dataset is the result of this study, which is under peer-review in a scientific journal.

    The dataset comprises titles, h5-index; h5-median, URLs of 3,070 publications from Latin America and the Caribbean identified in Google Scholar Metrics, and the respective editorial information of the publications was extracted from Latindex

    The original language of the content was kept, mainly Spanish in the case of editorial data from Latindex. The columns descriptors are also shown in English.

    The productivity data refer to the number of all types of documents published by the journals in the period 2016-2020. Data were extracted from the InCities Journal Citation Reports, Scopus, and SciELO Citation Index (Web of Science database).

    In this version 2, only the productivity data were changed, covering a larger number of journals (1,314) and including all types of documents. Other data are the same as in the first version (https://doi.org/10.5281/zenodo.5572873).

     

  2. 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
    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

  3. z

    Data from: Google Scholar as a Data Source for Research Assessment in the...

    • zenodo.org
    bin
    Updated Dec 31, 2021
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    Güleda Doğan; Güleda Doğan (2021). Google Scholar as a Data Source for Research Assessment in the Social Sciences [Dataset]. http://doi.org/10.5281/zenodo.5079007
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    binAvailable download formats
    Dataset updated
    Dec 31, 2021
    Dataset provided by
    Edward Elgar Publishing
    Authors
    Güleda Doğan; Güleda Doğan
    License

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

    Description

    Column 1

    Source

    Data sources that the publications retrieved. Values for this column are “Google Scholar”, “Scopus”, and “Web of Science”.

    Column 2

    Authors

    The authors of the publications. This column is kept as additional information for verification of data. Not used in the analysis, it has not been standardized.

    Column 3

    Title

    Titles of the publications. For non-English publications, English titles, if available, are kept in this column. Otherwise, the original titles have been entered. The headings were checked and errors and omissions were corrected. Corrected titles are marked in red.

    Column 4

    Title translated with Google Translate

    In this Column, the English translated titles of the publications that do not have English titles are kept. Google Translate is used for detecting the language and translation. For publications with an English title, the expression [Title in English] has been entered. The translations of the original titles kept in this field were used in the analysis made through VOSviewer. It is marked in red as it is newly added data.

    Column 5

    Language

    Language of the publications. The languages of all publications were checked, missing data were completed and errors were corrected. If the language of the publication could not be determined, the value is [Not found]. The cells with addition or correction are marked in red.

    Column 6

    Document type

    Types of the documents. For all publications, publication type information was checked, missing ones were completed and corrections were made. All intervened cells are marked in red. Article and Review types are referred to as “Article” in the text.

    Column 7

    Full-text available

    Values for this column are “Yes” and “No”. The values for this column are Yes and No. If there is access to the full text of the publication via the web, "Yes", otherwise the "No" value has been entered.

    Column 8

    On research evaluation

    Values for this column are “Yes” and “No”. Using the title and/or abstract information, it was tried to determine whether the publications were related to the research evaluation. “Yes”, if found relevant, and “No” if not. It is marked in red as it is newly added data.

    Column 9

    Publication year

    The publication years of the documents. If the publication years are missing, they have been completed. The current publication years have been checked and corrected if necessary. If the year of publication could not be found, it is indicated as [Not found].

    Column 10

    English abstract

    Abstracts of the publications. If there is an accessible/available English abstract for the publication, it is kept in this column. [Not found/Not available] for missing values. Abstracts that were added, changed, corrected, or completed are marked in red.

  4. o

    Data from: Google Scholar as a source for citation and impact analysis for a...

    • explore.openaire.eu
    Updated Jan 1, 2010
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    S. A. Sanni; A. N. Zainab (2010). Google Scholar as a source for citation and impact analysis for a non-ISI indexed medical journal [Dataset]. https://explore.openaire.eu/search/other?orpId=od_124::c09a7638b07750d68773c1f5f9f7b686
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    Dataset updated
    Jan 1, 2010
    Authors
    S. A. Sanni; A. N. Zainab
    Description

    It is difficult to determine the influence and impact of journals which are not covered by the ISI databases and Journal Citation Report. However, with the availability of databases such as MyAIS (Malaysian Abstracting and Indexing System), which offers sufficient information to support bibliometric analysis as well as being indexed by Google Scholar which provides citation information, it has become possible to obtain productivity, citation and impact information for non-ISI indexed journals. The bibliometric tool Harzing's Publish and Perish was used to collate citation information from Google scholar. The study examines article productivity, the citations obtained by articles and calculates the impact factor of Medical Journal of Malaysia (MJM) published between 2004 and 2008. MJM is the oldest medical journal in Malaysia and the unit of analysis is 580 articles. The results indicate that once a journal is covered by MyAIS it becomes visible and accessible on the Web because Google Scholarindexes MyAIS. The results show that contributors to MJM were mainly Malaysian (91) and the number of Malaysian-Foreign collaborated papers were very small (28 articles, 4.8). However, citation information from Google scholar indicates that out of the 580 articles, 76.8 (446) have been cited over the 5-year period. The citations were received from both mainstrean foreign as well as Malaysian journals and the top three citors were from China, Malaysia and the United States. In general more citations were received from East Asian countries, Europe, and Southeast Asia. The 2-yearly impact factor calculated for MJM is 0.378 in 2009, 0.367 in 2008, 0.616 in 2007 and 0.456 in 2006. The 5-year impact factor is calculated as 0.577. The results show that although MJM is a Malaysian journal and not ISI indexed its contents have some international significance based on the citations and impact score it receives, indicating the importance of being visible especially in Google scholar.

  5. d

    Canadian Student-led Academic Journals - platforms and indexing data

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
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    Maistrovskaya, Mariya (2023). Canadian Student-led Academic Journals - platforms and indexing data [Dataset]. http://doi.org/10.5683/SP3/QXEUVH
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Maistrovskaya, Mariya
    Description

    This dataset was compiled as part of a study on Barriers and Opportunities in the Discoverability and Indexing of Student-led Academic Journals. The list of student journals and their details is compiled from public sources. This list is used to identify the presence of Canadian student journals in Google Scholar as well as in select indexes and databases: DOAJ, Scopus, Web of Science, Medline, Erudit, ProQuest, and HeinOnline. Additionally, journal publishing platform is recorded to be used for a correlational analysis against Google Scholar indexing results. For further details see README.

  6. Data from: Highly Cited Documents on Google Scholar (1950-2013)

    • figshare.com
    xlsx
    Updated May 31, 2023
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    Alberto Martín-Martín; Enrique Orduña-Malea; Juan Manuel Ayllón; Emilio Delgado-López-Cózar (2023). Highly Cited Documents on Google Scholar (1950-2013) [Dataset]. http://doi.org/10.6084/m9.figshare.1224314.v2
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    xlsxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Alberto Martín-Martín; Enrique Orduña-Malea; Juan Manuel Ayllón; Emilio Delgado-López-Cózar
    License

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

    Description

    This dataset contains: - A sample of 64,000 highly cited documents published in the period 1950-2013, collected from Google Scholar on the 28th of May, 2014. - List of clean references of the top 1% most cited documents in Google Scholar (640 documents) - Study case: different versions (detected and undetected by Google Scholar) for the work "A Mathematical Theory of Communication", by Claude Shannon.- Frequency table: number of highly-cited documents in our sample published in WoS-covered journals

  7. s

    Google Scholar

    • scicrunch.org
    • neuinfo.org
    • +1more
    Updated Jun 17, 2025
    + more versions
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    (2025). Google Scholar [Dataset]. http://identifiers.org/RRID:SCR_008878
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    Dataset updated
    Jun 17, 2025
    Description

    Google Scholar provides a simple way to broadly search for scholarly literature. From one place, you can search across many disciplines and sources: articles, theses, books, abstracts and court opinions, from academic publishers, professional societies, online repositories, universities and other web sites. Google Scholar helps you find relevant work across the world of scholarly research. Features of Google Scholar * Search diverse sources from one convenient place * Find articles, theses, books, abstracts or court opinions * Locate the complete document through your library or on the web * Learn about key scholarly literature in any area of research How are documents ranked? Google Scholar aims to rank documents the way researchers do, weighing the full text of each document, where it was published, who it was written by, as well as how often and how recently it has been cited in other scholarly literature. * Publishers - Include your publications in Google Scholar * Librarians - Help patrons discover your library''s resources

  8. Data from: A critical review of 'just transition' publications using Google...

    • zenodo.org
    • ekoizpen-zientifikoa.ehu.eus
    • +1more
    bin
    Updated Jan 23, 2022
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    Becca Wilgosh; Becca Wilgosh; Alevgul H. Sorman; Alevgul H. Sorman; Iñaki Barcena; Iñaki Barcena (2022). A critical review of 'just transition' publications using Google and Google Scholar [Dataset]. http://doi.org/10.5281/zenodo.5794358
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    binAvailable download formats
    Dataset updated
    Jan 23, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Becca Wilgosh; Becca Wilgosh; Alevgul H. Sorman; Alevgul H. Sorman; Iñaki Barcena; Iñaki Barcena
    License

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

    Description

    This dataset offers the list of sources included in our critical review of the term 'just transition' (in English), from 1990 to 2021 in the Global North and South Africa, using Google and Google Scholar as search engines. The publications retrieved include both peer-reviewed literature and publicly available reports and documents. Results (with full citations) are categorized by actor group and type, location, and year of publication.

  9. Descriptive statistics of relevance ratings of the 16 questions in the...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Jelte M. Wicherts (2023). Descriptive statistics of relevance ratings of the 16 questions in the original tool by 20 stakeholders (Study 2). [Dataset]. http://doi.org/10.1371/journal.pone.0147913.t003
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Jelte M. Wicherts
    License

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

    Description

    Descriptive statistics of relevance ratings of the 16 questions in the original tool by 20 stakeholders (Study 2).

  10. Basic statistics for various indices for the Google Scholar data set.

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Trevor Fenner; Martyn Harris; Mark Levene; Judit Bar-Ilan (2023). Basic statistics for various indices for the Google Scholar data set. [Dataset]. http://doi.org/10.1371/journal.pone.0200098.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Trevor Fenner; Martyn Harris; Mark Levene; Judit Bar-Ilan
    License

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

    Description

    Basic statistics for various indices for the Google Scholar data set.

  11. o

    Citation Knowledge with Section and Context

    • ordo.open.ac.uk
    zip
    Updated May 5, 2020
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    Anita Khadka (2020). Citation Knowledge with Section and Context [Dataset]. http://doi.org/10.21954/ou.rd.11346848.v1
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    zipAvailable download formats
    Dataset updated
    May 5, 2020
    Dataset provided by
    The Open University
    Authors
    Anita Khadka
    License

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

    Description

    This dataset contains information from scientific publications written by authors who have published papers in the RecSys conference. It contains four files which have information extracted from scientific publications. The details of each file are explained below:i) all_authors.tsv: This file contains the details of authors who published research papers in the RecSys conference. The details include authors' identifier in various forms, such as number, orcid id, dblp url, dblp key and google scholar url, authors' first name, last name and their affiliation (where they work)ii) all_publications.tsv: This file contains the details of publications authored by the authors mentioned in the all_authors.tsv file (Please note the list of publications does not contain all the authored publications of the authors, refer to the publication for further details).The details include publications' identifier in different forms (such as number, dblp key, dblp url, dblp key, google scholar url), title, filtered title, published date, published conference and paper abstract.iii) selected_author_publications-information.tsv: This file consists of identifiers of authors and their publications. Here, we provide the information of selected authors and their publications used for our experiment.iv) selected_publication_citations-information.tsv: This file contains the information of the selected publications which consists of both citing and cited papers’ information used in our experiment. It consists of identifier of citing paper, identifier of cited paper, citation title, citation filtered title, the sentence before the citation is mentioned, citing sentence, the sentence after the citation is mentioned, citation position (section).Please note, it does not contain information of all the citations cited in the publications. For more detail, please refer to the paper.This dataset is for the use of research purposes only and if you use this dataset, please cite our paper "Capturing and exploiting citation knowledge for recommending recently published papers" due to be published in Web2Touch track 2020 (not yet published).

  12. r

    Big Data and Society Abstract & Indexing - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Jun 23, 2022
    + more versions
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    Research Help Desk (2022). Big Data and Society Abstract & Indexing - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/abstract-and-indexing/477/big-data-and-society
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    Dataset updated
    Jun 23, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

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

  13. d

    Replication data for: Citations

    • search.dataone.org
    Updated Nov 21, 2023
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    Lasda Bergman, Elaine (2023). Replication data for: Citations [Dataset]. http://doi.org/10.7910/DVN/27655
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    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Lasda Bergman, Elaine
    Description

    Microsoft Access Database for bibliometric analysis found in the article: Elaine M. Lasda Bergman, Finding Citations to Social Work Literature: The Relative Benefits of Using Web of Science, Scopus, or Google Scholar, The Journal of Academic Librarianship, Volume 38, Issue 6, November 2012, Pages 370-379, ISSN 0099-1333, http://dx.doi.org/10.1016/j.acalib.2012.08.002. (http://www.sciencedirect.com/science/article/pii/S009913331200119X) Abstract: Past studies of citation coverage of Web of Science, Scopus, and Google Scholar do not demonstrate a consistent pattern that can be applied to the interdisciplinary mix of resources used in social work research. To determine the utility of these tools to social work researchers, an analysis of citing references to well-known social work journals was conducted. Web of Science had the fewest citing references and almost no variety in source format. Scopus provided higher citation counts, but the pattern of coverage was similar to Web of Science. Google Scholar provided substantially more citing references, but only a relatively small percentage of them were unique scholarly journal articles. The patterns of database coverage were replicated when the citations were broken out for each journal separately. The results of this analysis demonstrate the need to determine what resources constitute scholarly research and reflect the need for future researchers to consider the merits of each database before undertaking their research. This study will be of interest to scholars in library and information science as well as social work, as it facilitates a greater understanding of the strengths and limitations of each database and brings to light important considerations for conducting future research. Keywords: Citation analysis; Social work; Scopus; Web of Science; Google Scholar

  14. f

    Breakdown of the three k classes for the Google Scholar data set.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 4, 2023
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    Trevor Fenner; Martyn Harris; Mark Levene; Judit Bar-Ilan (2023). Breakdown of the three k classes for the Google Scholar data set. [Dataset]. http://doi.org/10.1371/journal.pone.0200098.t007
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Trevor Fenner; Martyn Harris; Mark Levene; Judit Bar-Ilan
    License

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

    Description

    Breakdown of the three k classes for the Google Scholar data set.

  15. f

    Curated citation data

    • fairdomhub.org
    zip
    Updated Jan 11, 2023
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    Sebastian Höpfl (2023). Curated citation data [Dataset]. https://fairdomhub.org/data_files/6184
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    zip(99.4 KB)Available download formats
    Dataset updated
    Jan 11, 2023
    Authors
    Sebastian Höpfl
    License

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

    Description

    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.

  16. r

    Journal of theoretical and applied computer science Abstract & Indexing -...

    • researchhelpdesk.org
    Updated Feb 16, 2023
    + more versions
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    Research Help Desk (2023). Journal of theoretical and applied computer science Abstract & Indexing - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/abstract-and-indexing/351/journal-of-theoretical-and-applied-computer-science
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    Dataset updated
    Feb 16, 2023
    Dataset authored and provided by
    Research Help Desk
    Description

    Journal of theoretical and applied computer science Abstract & Indexing - ResearchHelpDesk - Journal of Theoretical and Applied Computer Science is published by the Computer Science Commision, operating within the Gdansk Branch of Polish Academy of Sciences and located in Szczecin, Poland. JTACS is an open access journal, publishing original research and review papers from the variety of subdiscplines connected to theoretical and applied computer science, including the following: Artificial intelligence Computer modelling and simulation Data analysis and classification Pattern recognition Computer graphics and image processing Information systems engineering Software engineering Computer systems architecture Distributed and parallel processing Computer systems security Web technologies Bioinformatics Abstract and indexing Doaj (Dicretroy of open access journals) Index copurnicus Baztech Google scholar

  17. Factors Affecting African Journals Visibility Data Archive

    • zenodo.org
    Updated Oct 10, 2024
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    Patrick Amboka; Patrick Amboka; Leah Mwangi Wangari; James Odero; Julius Kirimi Sindi; Marta Vicente-Crespo; Marta Vicente-Crespo; Evelyn Gitau; Leah Mwangi Wangari; James Odero; Julius Kirimi Sindi; Evelyn Gitau (2024). Factors Affecting African Journals Visibility Data Archive [Dataset]. http://doi.org/10.5281/zenodo.7810935
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    Dataset updated
    Oct 10, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Patrick Amboka; Patrick Amboka; Leah Mwangi Wangari; James Odero; Julius Kirimi Sindi; Marta Vicente-Crespo; Marta Vicente-Crespo; Evelyn Gitau; Leah Mwangi Wangari; James Odero; Julius Kirimi Sindi; Evelyn Gitau
    License

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

    Description

    The file contains the status of African journals indexing on Google Scholar and Scopus. The journals are hosted in a major journal repository in Africa(Sabinet journal repository) and a major journal platform for African journals (African Journal Online, AJOL). There are also factors affecting the journal indexing on Google Scholar and Scopus.

    The factors affecting journal visibility highlighted include journals' open access status, journals’ presence on the International Standard Serial Number (ISSN), journals’ publisher membership of the Committee on Publication Ethics (COPE), journals’ hosting on the International Network for Advancing Science and Policy (INASP) journal online, geographic location of the journals’ publisher.

  18. o

    Template for a "Research Footprint": An overview of a researcher's online...

    • explore.openaire.eu
    Updated Jun 20, 2019
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    Daniella Bayle Deutz; Charlotte Wien (2019). Template for a "Research Footprint": An overview of a researcher's online academic presence [Dataset]. http://doi.org/10.5281/zenodo.3250551
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    Dataset updated
    Jun 20, 2019
    Authors
    Daniella Bayle Deutz; Charlotte Wien
    Description

    What do you look like as a researcher, when someone external to your institute looks you up online? A "Research Footprint" provides a researcher with an immediate and visual overview of their online academic presence. We show what the researcher's metrics look like on the most widely used citation databases: Scopus, Web of Science (WoS) and Google Scholar. We limit the Research Footprint to the most basic personal metrics: Number of publications, number of open access publications, number of citations, times cited per year, and the h-index. We check whether the researcher has created and maintained the most important author identifiers: ORCID, ScopusID and ResearcherID (Publons), and linked them to our institutional repository based on PURE. We collect all this data as a kicking off point for a 1-on-1 discussion with the researcher. In that discussion we go through the importance of Author Identifiers and check whether all their publications are properly claimed on Scopus, WoS and Google Scholar. Finally, we give them the tools to maintain their profiles on their own to ensure that when external parties look them up, they find an accurate representation of the researcher's publication data. These are the template files we developed at the University of Southern Denmark to generate the Research Footprint. They include a Disclaimer and a GDPR statement. The publication data can be collected in the provided Excel file and then copied over to the Word file.

  19. f

    Breakdown of the two χ classes for the Google Scholar data set.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Trevor Fenner; Martyn Harris; Mark Levene; Judit Bar-Ilan (2023). Breakdown of the two χ classes for the Google Scholar data set. [Dataset]. http://doi.org/10.1371/journal.pone.0200098.t009
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Trevor Fenner; Martyn Harris; Mark Levene; Judit Bar-Ilan
    License

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

    Description

    Breakdown of the two χ classes for the Google Scholar data set.

  20. r

    Journal of Chemistry Acceptance Rate - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Apr 28, 2022
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    Research Help Desk (2022). Journal of Chemistry Acceptance Rate - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/acceptance-rate/341/journal-of-chemistry
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    Dataset updated
    Apr 28, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

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

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Fabio Lorensi do Canto; Fabio Lorensi do Canto; Adilson Luiz Pinto; Adilson Luiz Pinto; Edson Mário Gavron; Edson Mário Gavron; Marcos Talau; Marcos Talau (2021). Latin American and Caribbean journals indexed in Google Scholar Metrics [Dataset]. http://doi.org/10.5281/zenodo.5704895
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Data from: Latin American and Caribbean journals indexed in Google Scholar Metrics

Related Article
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Dataset updated
Nov 16, 2021
Dataset provided by
Zenodohttp://zenodo.org/
Authors
Fabio Lorensi do Canto; Fabio Lorensi do Canto; Adilson Luiz Pinto; Adilson Luiz Pinto; Edson Mário Gavron; Edson Mário Gavron; Marcos Talau; Marcos Talau
License

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

Area covered
Latin America, Caribbean
Description

Dataset from a study aiming to analyze the coverage of Latin American and Caribbean journals in Google Scholar Metrics (GSM). Data from 8,205 journals from 24 countries of the region were downloaded from Latindex database. A Python script was used for automated title search and data extraction (titles, h5-index, h5-median, URLs) in GSM. For the journals not found, a manual search was carried out, with attempts by variations of the title. It was found 3,070 journals indexed in GSM, which corresponds to 37.42% of the Latindex list. The search was performed on the 2021 edition of GSM, which considers articles published between 2016 and 2020 and citations registered until July 2021. The number of all types of documents published (productivity) in the h5-index period (2016-2020) in Scopus, Journal Citation Reports, and SciELO of 1,314 journals was also identified.

The present dataset is the result of this study, which is under peer-review in a scientific journal.

The dataset comprises titles, h5-index; h5-median, URLs of 3,070 publications from Latin America and the Caribbean identified in Google Scholar Metrics, and the respective editorial information of the publications was extracted from Latindex

The original language of the content was kept, mainly Spanish in the case of editorial data from Latindex. The columns descriptors are also shown in English.

The productivity data refer to the number of all types of documents published by the journals in the period 2016-2020. Data were extracted from the InCities Journal Citation Reports, Scopus, and SciELO Citation Index (Web of Science database).

In this version 2, only the productivity data were changed, covering a larger number of journals (1,314) and including all types of documents. Other data are the same as in the first version (https://doi.org/10.5281/zenodo.5572873).

 

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