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Relative Citation Ratio (RCR): A New Metric That Uses Citation Rates to Measure Influence at the Article Level

Fig 4

RCRs correspond with expert reviewer scores.

(A–C) Bubble plots of reviewer scores versus RCR for three different datasets. Articles are binned by reviewer score; bubble area is proportionate to the number of articles in that bin. (A) F1000 scores for 2,193 R01-funded papers published in 2009. Faculty reviewers rated the articles on a scale of one to three (“good,” “very good,” and “exceptional”, respectively); those scores were summed into a composite F1000 score for each article (S3 Fig). (B) Reviewer scores of 430 HHMI and NIH-funded papers collected by STPI. (C) Scores of 290 R01-funded articles reviewed by experts from the NIH Intramural Research Program. Black line, linear regression. (D) Box-and-whisker plots illustrating the distribution of journal impact factors (JIFs) citations per year (CPY) and RCRs for two areas of NIH-funded research from 2007–2011. Cell biology, n = 5,936; neurological function, n = 5,417. *** p < 0.001, Kruskal-Wallis with Dunn’s multiple comparison test. n.s., not significant. Mean represented by a “+.” (E) Comparison of RCRs (orange) and Thompson Reuters ratios (blue) [17,28] for the same 544 articles with a low denominator. Data points are partially transparent to allow coordinates with multiple papers (darker) to be more clearly identified.

Fig 4