18 datasets found
  1. f

    Dissemination of novel biostatistics methods: Impact of programming code...

    • plos.figshare.com
    doc
    Updated May 31, 2023
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    Amy E. Wahlquist; Lutfiyya N. Muhammad; Teri Lynn Herbert; Viswanathan Ramakrishnan; Paul J. Nietert (2023). Dissemination of novel biostatistics methods: Impact of programming code availability and other characteristics on article citations [Dataset]. http://doi.org/10.1371/journal.pone.0201590
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    docAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Amy E. Wahlquist; Lutfiyya N. Muhammad; Teri Lynn Herbert; Viswanathan Ramakrishnan; Paul J. Nietert
    License

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

    Description

    BackgroundAs statisticians develop new methodological approaches, there are many factors that influence whether others will utilize their work. This paper is a bibliometric study that identifies and quantifies associations between characteristics of new biostatistics methods and their citation counts. Of primary interest was the association between numbers of citations and whether software code was available to the reader.MethodsStatistics journal articles published in 2010 from 35 statistical journals were reviewed by two biostatisticians. Generalized linear mixed models were used to determine which characteristics (author, article, and journal) were independently associated with citation counts (as of April 1, 2017) in other peer-reviewed articles.ResultsOf 722 articles reviewed, 428 were classified as new biostatistics methods. In a multivariable model, for articles that were not freely accessible on the journal’s website, having code available appeared to offer no boost to the number of citations (adjusted rate ratio = 0.96, 95% CI = 0.74 to 1.24, p = 0.74); however, for articles that were freely accessible on the journal’s website, having code available was associated with a 2-fold increase in the number of citations (adjusted rate ratio = 2.01, 95% CI = 1.30 to 3.10, p = 0.002). Higher citation rates were also associated with higher numbers of references, longer articles, SCImago Journal Rank indicator (SJR), and total numbers of publications among authors, with the strongest impact on citation rates coming from SJR (rate ratio = 1.21 for a 1-unit increase in SJR; 95% CI = 1.11 to 1.32).ConclusionThese analyses shed new insight into factors associated with citation rates of articles on new biostatistical methods. Making computer code available to readers is a goal worth striving for that may enhance biostatistics knowledge translation.

  2. Numbers of Submissions and Acceptance Rates for Core Economics Journals,...

    • figshare.com
    xlsx
    Updated Jun 4, 2023
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    Yuqing Zheng (2023). Numbers of Submissions and Acceptance Rates for Core Economics Journals, 2008 and 2013 [Dataset]. http://doi.org/10.6084/m9.figshare.3423357.v1
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    xlsxAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Yuqing Zheng
    License

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

    Description
    1. Sample: economics journals indexed in Journal Citation Reports (JCR) compiled by the Institute for Scientific Information, for the years of 2008 and 20132. We surveyed the journal editors to obtain the numbers of submissions.3. Acceptance rate = Number of articles published/Number of submission, a rough approximation for the real acceptance rate4. Other information such as impact factor is from the JCR
  3. J

    General-interest versus specialty journals: Using intellectual influence of...

    • jda-test.zbw.eu
    • journaldata.zbw.eu
    .g, ods, txt, xls
    Updated Jul 22, 2024
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    Yong Bao; Melody Lo; Franklin G. Mixon; Yong Bao; Melody Lo; Franklin G. Mixon (2024). General-interest versus specialty journals: Using intellectual influence of econometrics research to rank economics journals and articles (replication data) [Dataset]. https://jda-test.zbw.eu/dataset/generalinterest-versus-specialty-journals-using-intellectual-influence-of-econometrics-research-to-
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    xls(14336), xls(14848), xls(2611200), .g(13082), txt(3227), ods(624465)Available download formats
    Dataset updated
    Jul 22, 2024
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Yong Bao; Melody Lo; Franklin G. Mixon; Yong Bao; Melody Lo; Franklin G. Mixon
    License

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

    Description

    This paper demonstrates the potential problem in using existing economics journal rankings to evaluate the research productivity of scholars by constructing a new ranking of economics journals and articles. Based on 2142 econometrics sample articles published from 2000 to 2005, our ranking results show that the intellectual influence of an econometrics article published in several econometrics/statistics journals is much higher than if it were published in the most prestigious general-interest journal. Given that a study's potential influence is integrated into the submission decision, this suggests a substantial downward bias toward econometricians when existing rankings are used to evaluate their research productivity.

  4. r

    Quarterly Journal of Economics Impact Factor 2024-2025 - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Feb 19, 2022
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    Research Help Desk (2022). Quarterly Journal of Economics Impact Factor 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/impact-factor-if/601/quarterly-journal-of-economics
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    Dataset updated
    Feb 19, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Quarterly Journal of Economics Impact Factor 2024-2025 - ResearchHelpDesk - The Quarterly Journal of Economics is a peer-reviewed academic journal published by the Oxford University Press for the Harvard University Department of Economics. Its current editors-in-chief are Robert J. Barro, Lawrence F. Katz, Nathan Nunn, Andrei Shleifer, and Stefanie Stantcheva (Harvard University). It is the oldest professional journal of economics in the English language and covers all aspects of the field—from the journal's traditional emphasis on micro theory to both empirical and theoretical macroeconomics. According to the Journal Citation Reports, the journal has a 2015 impact factor of 6.662, ranking it first out of 347 journals in the category "Economics". It is generally regarded as one of the top 5 journals in economics, together with the American Economic Review, Econometrica, the Journal of Political Economy, and the Review of Economic Studies. The Quarterly Journal of Economics is the oldest professional journal of economics in the English language. Edited at Harvard University's Department of Economics, it covers all aspects of the field. QJE is invaluable to professional and academic economists and students around the world. Scope of the Journal The Quarterly Journal of Economics is the oldest professional journal of economics in the English language. Edited at Harvard University's Department of Economics, it covers all aspects of the field-from the journal's traditional emphasis on micro theory, to both empirical and theoretical macroeconomics. QJE is invaluable to professional and academic economists and students around the world. Impact Factor and Ranking Year Impact Factor Ssi: Economics 2020 15.563 1 out of 377 2019 11.375 1 out of 371 2018 11.775 1 out of 363 2017 7.863 1 out of 353 2016 6.662 1 out of 347 2015 5.538 2 out of 344 2014 6.654 1 out of 333 2013 5.966 3 out of 332 2012 5.278 2 out of 332 2011 5.920 2 out of 320 2010 5.940 2 out of 304 2009 5.647 2 out of 245 This information is taken from the Journal Citation Reports™ (Clarivate, 2021). Abstracting & Indexing Services The Quarterly Journal of Economics is covered by the following abstracting and indexing services: ABI-INFORM Book Review Digest Plus CAB Abstracts Coal Abstracts Criminal Justice Abstracts Current Contents: Social & Behavioral Sciences Current Index to Statistics Dietrich's Index Philosophicus Documentation in Public Administration EconLit Emerald Management Reviews Environmental RouteNet Environmental Sciences & Pollution Management Database Expanded Academic ASAP Family Index Historical Abstracts Human Resources Abstracts IBZ: International Bibliography of Periodical Literature Index of Economic Articles in Journals & Collected Volumes Index to Periodical Articles Related to Law International Bibliography of Humanities & Sociological Literature Leisure, Recreation, and Tourism Abstracts Leisure Tourism Database LexisNexis Operations Research - Management Science Peace Research Abstracts ProQuest Central Public Administration Abstracts Quality Control & Applied Statistics RePec Risk Abstracts SCOPUS Social Science Source Social Sciences Citation Index/Social SciSearch Social Sciences Index Social Work Abstracts Wilson Business Abstracts World Agricultural Economics & Rural Sociology Abstracts Zentralblatt MATH

  5. f

    Bivariate associations between citation counts and article, author, and...

    • figshare.com
    xls
    Updated May 31, 2023
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    Amy E. Wahlquist; Lutfiyya N. Muhammad; Teri Lynn Herbert; Viswanathan Ramakrishnan; Paul J. Nietert (2023). Bivariate associations between citation counts and article, author, and journal characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0201590.t002
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Amy E. Wahlquist; Lutfiyya N. Muhammad; Teri Lynn Herbert; Viswanathan Ramakrishnan; Paul J. Nietert
    License

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

    Description

    Bivariate associations between citation counts and article, author, and journal characteristics.

  6. Statistical Power to Detect Various Population Effect Sizes across Journals....

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    R. Chris Fraley; Simine Vazire (2023). Statistical Power to Detect Various Population Effect Sizes across Journals. [Dataset]. http://doi.org/10.1371/journal.pone.0109019.t004
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    R. Chris Fraley; Simine Vazire
    License

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

    Description

    Note. JP  =  Journal of Personality, JRP  =  Journal of Research in Personality, PSPB  =  Personality and Social Psychology Bulletin, JPSP  =  Journal of Personality and Social Psychology, JESP  =  Journal of Experimental Social Psychology, PS  =  Psychological Science (social/personality articles only), JPSP:ASC  =  Attitudes and Social Cognition section of JPSP, JPSP:IRGP  =  Interpersonal Relations and Group Processes section of JPSP, JPSP:PPID  =  Personality Processes and Individual Differences section of JPSP. Power values assume a two-tailed test with an alpha level of .05.Statistical Power to Detect Various Population Effect Sizes across Journals.

  7. r

    Quarterly Journal of Economics Abstract & Indexing - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Feb 18, 2022
    + more versions
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    Research Help Desk (2022). Quarterly Journal of Economics Abstract & Indexing - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/abstract-and-indexing/601/quarterly-journal-of-economics
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    Dataset updated
    Feb 18, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Quarterly Journal of Economics Abstract & Indexing - ResearchHelpDesk - The Quarterly Journal of Economics is a peer-reviewed academic journal published by the Oxford University Press for the Harvard University Department of Economics. Its current editors-in-chief are Robert J. Barro, Lawrence F. Katz, Nathan Nunn, Andrei Shleifer, and Stefanie Stantcheva (Harvard University). It is the oldest professional journal of economics in the English language and covers all aspects of the field—from the journal's traditional emphasis on micro theory to both empirical and theoretical macroeconomics. According to the Journal Citation Reports, the journal has a 2015 impact factor of 6.662, ranking it first out of 347 journals in the category "Economics". It is generally regarded as one of the top 5 journals in economics, together with the American Economic Review, Econometrica, the Journal of Political Economy, and the Review of Economic Studies. The Quarterly Journal of Economics is the oldest professional journal of economics in the English language. Edited at Harvard University's Department of Economics, it covers all aspects of the field. QJE is invaluable to professional and academic economists and students around the world. Scope of the Journal The Quarterly Journal of Economics is the oldest professional journal of economics in the English language. Edited at Harvard University's Department of Economics, it covers all aspects of the field-from the journal's traditional emphasis on micro theory, to both empirical and theoretical macroeconomics. QJE is invaluable to professional and academic economists and students around the world. Impact Factor and Ranking Year Impact Factor Ssi: Economics 2020 15.563 1 out of 377 2019 11.375 1 out of 371 2018 11.775 1 out of 363 2017 7.863 1 out of 353 2016 6.662 1 out of 347 2015 5.538 2 out of 344 2014 6.654 1 out of 333 2013 5.966 3 out of 332 2012 5.278 2 out of 332 2011 5.920 2 out of 320 2010 5.940 2 out of 304 2009 5.647 2 out of 245 This information is taken from the Journal Citation Reports™ (Clarivate, 2021). Abstracting & Indexing Services The Quarterly Journal of Economics is covered by the following abstracting and indexing services: ABI-INFORM Book Review Digest Plus CAB Abstracts Coal Abstracts Criminal Justice Abstracts Current Contents: Social & Behavioral Sciences Current Index to Statistics Dietrich's Index Philosophicus Documentation in Public Administration EconLit Emerald Management Reviews Environmental RouteNet Environmental Sciences & Pollution Management Database Expanded Academic ASAP Family Index Historical Abstracts Human Resources Abstracts IBZ: International Bibliography of Periodical Literature Index of Economic Articles in Journals & Collected Volumes Index to Periodical Articles Related to Law International Bibliography of Humanities & Sociological Literature Leisure, Recreation, and Tourism Abstracts Leisure Tourism Database LexisNexis Operations Research - Management Science Peace Research Abstracts ProQuest Central Public Administration Abstracts Quality Control & Applied Statistics RePec Risk Abstracts SCOPUS Social Science Source Social Sciences Citation Index/Social SciSearch Social Sciences Index Social Work Abstracts Wilson Business Abstracts World Agricultural Economics & Rural Sociology Abstracts Zentralblatt MATH

  8. Correlations Among 1-year N-pact Factors, 5-year N-pact Factors, and...

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    R. Chris Fraley; Simine Vazire (2023). Correlations Among 1-year N-pact Factors, 5-year N-pact Factors, and Citation Impact Factors across the Six Journals Studied. [Dataset]. http://doi.org/10.1371/journal.pone.0109019.t003
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    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    R. Chris Fraley; Simine Vazire
    License

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

    Description

    Note. The upper matrix represents the stability of rank ordering of journal's 1-year N-pact Factors (NFs) from 2006–2010. The lower rows represent the correlations among NFs in any one year and the NF-5 and the citation Impact Factors (IF) of journals.Correlations Among 1-year N-pact Factors, 5-year N-pact Factors, and Citation Impact Factors across the Six Journals Studied.

  9. Rankings for the field of ecology.

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Michael J. Stringer; Marta Sales-Pardo; Luís A. Nunes Amaral (2023). Rankings for the field of ecology. [Dataset]. http://doi.org/10.1371/journal.pone.0001683.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Michael J. Stringer; Marta Sales-Pardo; Luís A. Nunes Amaral
    License

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

    Description

    We consider the 36 journals that are primarily classified in the field of ecology according to the ISI. We rank journals according to: (i) the maximization of the multi-class AUC statistic for the steady-state distributions and (ii) the JIF; q̅ and σ are the model parameters obtained using ; n̅ and Q2 are the mean and median number of citations in the steady state. We also show the steady-state period.

  10. Rankings for the field of experimental psychology.

    • plos.figshare.com
    xls
    Updated Jun 7, 2023
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    Michael J. Stringer; Marta Sales-Pardo; Luís A. Nunes Amaral (2023). Rankings for the field of experimental psychology. [Dataset]. http://doi.org/10.1371/journal.pone.0001683.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Michael J. Stringer; Marta Sales-Pardo; Luís A. Nunes Amaral
    License

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

    Description

    We consider the 13 journals that are primarily classified in the field of experimental psychology according to the ISI. We rank journals according to: (i) the maximization of the multi-class AUC statistic for the steady-state distributions and (ii) the JIF; q̅ and σ are the model parameters obtained using ; n̅ and Q2 are the mean and median number of citations in the steady state. We also show the steady-state period.

  11. Median Sample Sizes for each Six Empirical Journals in Social/Personality...

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    R. Chris Fraley; Simine Vazire (2023). Median Sample Sizes for each Six Empirical Journals in Social/Personality Psychology. [Dataset]. http://doi.org/10.1371/journal.pone.0109019.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    R. Chris Fraley; Simine Vazire
    License

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

    Description

    Note. NF-5  =  5-year N-pact Factor. JP  =  Journal of Personality, JRP  =  Journal of Research in Personality, PSPB  =  Personality and Social Psychology Bulletin, JPSP  =  Journal of Personality and Social Psychology, JESP  =  Journal of Experimental Social Psychology, PS  =  Psychological Science (social/personality articles only).Median Sample Sizes for each Six Empirical Journals in Social/Personality Psychology.

  12. f

    Categories assigned in institutional ranking by KBN (1992–2004) and the...

    • plos.figshare.com
    xls
    Updated Jun 10, 2023
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    Steffi Heinecke (2023). Categories assigned in institutional ranking by KBN (1992–2004) and the MNiSW (2007), published in Official Journals [43]. [Dataset]. http://doi.org/10.1371/journal.pone.0153260.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Steffi Heinecke
    License

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

    Description

    Categories assigned in institutional ranking by KBN (1992–2004) and the MNiSW (2007), published in Official Journals [43].

  13. Descriptive statistics, 2007.

    • plos.figshare.com
    xls
    Updated Feb 15, 2024
    + more versions
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    Frank Fernandez; Volha Chykina; Yin Chun Lin (2024). Descriptive statistics, 2007. [Dataset]. http://doi.org/10.1371/journal.pone.0298370.t003
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    xlsAvailable download formats
    Dataset updated
    Feb 15, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Frank Fernandez; Volha Chykina; Yin Chun Lin
    License

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

    Description

    Since 2011, a declining trend in academic freedom globally has paralleled a rising tide of neo-nationalism. We use fixed effects models to examine data from the Varieties of Democracy (V-DEM) academic freedom index and bibliometric data for 17 OECD countries across nearly three decades (1981–2007) that precede the recent decline in academic freedom. We find substantial, statistically significant, positive relationships between cross-nationally comparable and longitudinal measures of academic freedom and volume of STEM publications. Additionally, academic freedom positively influenced the quality of STEM publications as measured by journal rankings. Our findings were relatively consistent across various measures of academic freedom and model specifications. We discuss implications for safeguarding academic freedom, applying neo-institutional theory, and identifying directions for future research.

  14. Characteristics of included statistical series ranked by number of covered...

    • plos.figshare.com
    xls
    Updated Jun 16, 2023
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    Christine Wallisch; Paul Bach; Lorena Hafermann; Nadja Klein; Willi Sauerbrei; Ewout W. Steyerberg; Georg Heinze; Geraldine Rauch (2023). Characteristics of included statistical series ranked by number of covered aspects. [Dataset]. http://doi.org/10.1371/journal.pone.0262918.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Christine Wallisch; Paul Bach; Lorena Hafermann; Nadja Klein; Willi Sauerbrei; Ewout W. Steyerberg; Georg Heinze; Geraldine Rauch
    License

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

    Description

    We considered 44 aspects, see S3 File.

  15. File S1 - Regression-Based Ranking of Pathogen Strains with Respect to Their...

    • plos.figshare.com
    pdf
    Updated Jun 3, 2023
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    Samuel Soubeyrand; Charlotte Tollenaere; Emilie Haon-Lasportes; Anna-Liisa Laine (2023). File S1 - Regression-Based Ranking of Pathogen Strains with Respect to Their Contribution to Natural Epidemics [Dataset]. http://doi.org/10.1371/journal.pone.0086591.s001
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    pdfAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Samuel Soubeyrand; Charlotte Tollenaere; Emilie Haon-Lasportes; Anna-Liisa Laine
    License

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

    Description

    Supporting information providing methodological details and complementary results. (PDF)

  16. Summary of fixed effects models testing robustness of academic freedom...

    • plos.figshare.com
    xls
    Updated Feb 15, 2024
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    Frank Fernandez; Volha Chykina; Yin Chun Lin (2024). Summary of fixed effects models testing robustness of academic freedom measures. [Dataset]. http://doi.org/10.1371/journal.pone.0298370.t005
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    xlsAvailable download formats
    Dataset updated
    Feb 15, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Frank Fernandez; Volha Chykina; Yin Chun Lin
    License

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

    Description

    Summary of fixed effects models testing robustness of academic freedom measures.

  17. f

    Characterization of the sample: Study experimental details.

    • plos.figshare.com
    xls
    Updated Jun 5, 2023
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    Olivia Hogue; Tucker Harvey; Dena Crozier; Claire Sonneborn; Abagail Postle; Hunter Block-Beach; Eashwar Somasundaram; Francis J. May; Monica Snyder Braun; Felicia L. Pasadyn; Khandi King; Casandra Johnson; Mary A. Dolansky; Nancy A. Obuchowski; Andre G. Machado; Kenneth B. Baker; Jill S. Barnholtz-Sloan (2023). Characterization of the sample: Study experimental details. [Dataset]. http://doi.org/10.1371/journal.pone.0265154.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Olivia Hogue; Tucker Harvey; Dena Crozier; Claire Sonneborn; Abagail Postle; Hunter Block-Beach; Eashwar Somasundaram; Francis J. May; Monica Snyder Braun; Felicia L. Pasadyn; Khandi King; Casandra Johnson; Mary A. Dolansky; Nancy A. Obuchowski; Andre G. Machado; Kenneth B. Baker; Jill S. Barnholtz-Sloan
    License

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

    Description

    Characterization of the sample: Study experimental details.

  18. f

    List of variables, descriptive statistics, predicted relationship with...

    • figshare.com
    xls
    Updated Jun 15, 2023
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    Traci A. Giuliano; Isham E. Kimbell; Emily S. Olson; Jennifer L. Howell (2023). List of variables, descriptive statistics, predicted relationship with number of undergraduate (UG) publications, and associated citations1. [Dataset]. http://doi.org/10.1371/journal.pone.0265074.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Traci A. Giuliano; Isham E. Kimbell; Emily S. Olson; Jennifer L. Howell
    License

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

    Description

    List of variables, descriptive statistics, predicted relationship with number of undergraduate (UG) publications, and associated citations1.

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

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Amy E. Wahlquist; Lutfiyya N. Muhammad; Teri Lynn Herbert; Viswanathan Ramakrishnan; Paul J. Nietert (2023). Dissemination of novel biostatistics methods: Impact of programming code availability and other characteristics on article citations [Dataset]. http://doi.org/10.1371/journal.pone.0201590

Dissemination of novel biostatistics methods: Impact of programming code availability and other characteristics on article citations

Explore at:
docAvailable download formats
Dataset updated
May 31, 2023
Dataset provided by
PLOS ONE
Authors
Amy E. Wahlquist; Lutfiyya N. Muhammad; Teri Lynn Herbert; Viswanathan Ramakrishnan; Paul J. Nietert
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Description

BackgroundAs statisticians develop new methodological approaches, there are many factors that influence whether others will utilize their work. This paper is a bibliometric study that identifies and quantifies associations between characteristics of new biostatistics methods and their citation counts. Of primary interest was the association between numbers of citations and whether software code was available to the reader.MethodsStatistics journal articles published in 2010 from 35 statistical journals were reviewed by two biostatisticians. Generalized linear mixed models were used to determine which characteristics (author, article, and journal) were independently associated with citation counts (as of April 1, 2017) in other peer-reviewed articles.ResultsOf 722 articles reviewed, 428 were classified as new biostatistics methods. In a multivariable model, for articles that were not freely accessible on the journal’s website, having code available appeared to offer no boost to the number of citations (adjusted rate ratio = 0.96, 95% CI = 0.74 to 1.24, p = 0.74); however, for articles that were freely accessible on the journal’s website, having code available was associated with a 2-fold increase in the number of citations (adjusted rate ratio = 2.01, 95% CI = 1.30 to 3.10, p = 0.002). Higher citation rates were also associated with higher numbers of references, longer articles, SCImago Journal Rank indicator (SJR), and total numbers of publications among authors, with the strongest impact on citation rates coming from SJR (rate ratio = 1.21 for a 1-unit increase in SJR; 95% CI = 1.11 to 1.32).ConclusionThese analyses shed new insight into factors associated with citation rates of articles on new biostatistical methods. Making computer code available to readers is a goal worth striving for that may enhance biostatistics knowledge translation.

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