Multiple regression analysis of the impact of editorial leadership and of potential confounding parameters on journal quality, for 73 Italian and 69 UK journals that publish research on humans.

Independent analyses were run for the criteria variables SCImago journal rank and SCImago cites/doc (available for 141 of the journals) and impact factor (75 journals).a All aspects but adherence to animal research laws were considered. b Multiple correlation coefficient for all predictors included in the model; coefficients for all models were statistically significant (p<0.0001). c Percentage of variance explained by inclusion of the new predictor in the model. d Language not entered into the model because the IF journal set has only one bilingual journal and no journals in Italian.* F(141,128) = 6.28; †F(141,128) = 10.6; ‡F(75,62) = 5.15.

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PID https://www.doi.org/10.1371/journal.pone.0002512.t004
URL http://dx.doi.org/10.1371/journal.pone.0002512.t004
URL https://figshare.com/articles/_Multiple_regression_analysis_of_the_impact_of_editorial_leadership_and_of_potential_confounding_parameters_on_journal_quality_for_73_Italian_and_69_UK_journals_that_publish_research_on_humans_/597642
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Author Matarese, Valerie
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Publication Date 2015-01-01
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Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=r37980778c78::87e955e57a4dd87347632036b0b85b7e
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Last Updated 27 December 2020, 15:28 (CET)
Created 27 December 2020, 15:28 (CET)