eLife · 2019 · 206 citations · 19 references
ManagementBioinformaticsManuscript StudiesMeta-analysisPathway AnalysisBibliometric AnalysisCitation NetworksPeer ReviewAttentionImpact FactorLinear RegressionLog-linear RegressionObservational Study EvaluationPreprint PublishingPublication Impact AnalysisScientific Impact Measurement
Preprints in biology are becoming more popular, but only a small fraction of the articles published in peer-reviewed journals have previously been released as preprints. To examine whether releasing a preprint on bioRxiv was associated with the attention and citations received by the corresponding peer-reviewed article, we assembled a dataset of 74,239 articles, 5,405 of which had a preprint, published in 39 journals. Using log-linear regression and random-effects meta-analysis, we found that articles with a preprint had, on average, a 49% higher Altmetric Attention Score and 36% more citations than articles without a preprint. These associations were independent of several other article- and author-level variables (such as scientific subfield and number of authors), and were unrelated to journal-level variables such as access model and Impact Factor. This observational study can help researchers and publishers make informed decisions about how to incorporate preprints into their work.
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A Simple Sequentially Rejective Multiple Test Procedure
Sture Holm · Scandinavian Journal of Statistics · 1979 · 21.8K citations
Principal components analysis corrects for stratification in genome-wide association studies
Alkes L. Price, Nick J. Patterson, Robert M. Plenge et al. · Nature Genetics · 2006 · 10.7K citations
Joanna IntHout, John P. A. Ioannidis, George F. Borm · BMC Medical Research Methodology · 2014 · 2.1K citations · Full text
quanteda: An R package for the quantitative analysis of textual data
Kenneth Benoit, Kohei Watanabe, H. P. Wang et al. · The Journal of Open Source Software · 2018 · 1.3K citations · Full text