Data for analysis of article- vs. journal-level recognition for biomedical researchers

This dataset quantifies the recognition of author-level recognition for their articles either because (a) they were published in a high impact factor journal (threshold defined in the file names) or (b) they received as many citations as the median article published in the journals identified by the impact factor threshold.Scope: Authors with public opt-in MyNCBI publication profiles matching names to investigators funded by NIH.Data definitions:startyear: Year of first publication by authorendyear: Year of last publication by author (max 2022)decade: Decade of first publicationhits: Fraction of articles as highly cited as those in high impact factor journalsglam: Fraction of articles published in high impact factor journalshits_rank: Rank ordered fraction of articles as highly cited as those in high impact factor journals measured by RCRglam_rank: Rank ordered fraction of articles published in high impact factor journalsrcr_median: Median article-level Relative Citation Ratio of author's articlesmale: Predicted male gender based on gendeR packagefemale: Predicted female gender based on R gendeR packagewhite: Predicted white race based on R wru packageblack: Predicted black race based on R wru packagehis: Predicted hispanic race based on R wru packageasi: Predicted asian race based on R wru packageoth: Predicted none of the above race based on R wru packageart_better: Author would receive more recognition with article-level metricsjournal_better: Author would receive more recognition with journal-level metricsart_journ_same: No difference for recognition for author with journal- or article-level metricshits_acr: Fraction of articles as highly cited as those in high impact factor journals (measured using article citation rate rather than RCR)