2017
DOI: 10.1371/journal.pbio.2002536
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A critical evaluation of the algorithm behind the Relative Citation Ratio (RCR)

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Cited by 37 publications
(36 citation statements)
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“…A paper with an RCR of 1.0 has received the same number of citations per year as the median NIH‐funded paper in its field, whereas a paper with an RCR of 2.0 has received twice as many citations per year as the median NIH‐funded paper in its field. The weighted RCR is the sum of the RCRs for the articles within the analysis group for a given author …”
Section: Methodsmentioning
confidence: 99%
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“…A paper with an RCR of 1.0 has received the same number of citations per year as the median NIH‐funded paper in its field, whereas a paper with an RCR of 2.0 has received twice as many citations per year as the median NIH‐funded paper in its field. The weighted RCR is the sum of the RCRs for the articles within the analysis group for a given author …”
Section: Methodsmentioning
confidence: 99%
“…The weighted RCR is the sum of the RCRs for the articles within the analysis group for a given author. 21 All statistical calculations were conducted using IBM SPSS Statistics Software, version 20.0. Data were collected in September 2017 and October 2017.…”
Section: Methodsmentioning
confidence: 99%
“…For cited-side normalization, this is the case of the Relative Citation Ratio (RCR), the articles co-cited with the focal article are utilized in the generation of the reference set that represents the field of the focal article [20]. However, this RCR has been criticized [21]. In this sense, we think our metric could be used in a new methodology for cited-side normalization.…”
Section: Discussionmentioning
confidence: 99%
“…It seems that the indicator will be used in research evaluation (see https://icite.od.nih.gov), despite critical comments in the literature (Bornmann & Haunschild, 2017;Janssens, Goodman, Powell, & Gwinn, 2017;Waltman, 2015). indicator that is used everywhere, researchers will have a strong incentive to try to game this indicator (Rijcke, Wouters, Rushforth, Franssen, & Hammarfelt, 2016 With our appeal for standardization, we follow earlier initiatives in scientometrics.…”
mentioning
confidence: 99%