[Sigmetrics] Preprint: Relative Citation Ratio

Bornmann, Lutz lutz.bornmann at gv.mpg.de
Wed Nov 4 09:25:07 EST 2015

Hi Chris,

Thank you for the hint to the paper!

It would be interesting to read an answer by the authors to the comment by Ludo Waltman (http://www.cwts.nl/blog?article=n-q2u294&title=nihs-new-citation-metric-a-step-forward-in-quantifying-scientific-impact&utm_source=feedburner&utm_medium=twitter&utm_campaign=Feed:+cwts/blog+%28CWTS+Blog%29).



From: SIGMETRICS [mailto:sigmetrics-bounces at asis.org] On Behalf Of Belter, Christopher (NIH/OD/ORS) [E]
Sent: Wednesday, November 04, 2015 3:06 PM
Subject: [Sigmetrics] Preprint: Relative Citation Ratio

If you haven’t already seen it, you might be interested in the following preprint that has recently been posted to the Cold Spring Harbor Laboratory’s BioRxiv:

Relative Citation Ratio (RCR): A new metric that uses citation rates to measure influence at the article level<http://dx.doi.org/10.1101/029629>
Bruce Ian Hutchins, Xin Yuan, James M Anderson, George M Santangelo

Despite their recognized limitations, bibliometric assessments of scientific productivity have been widely adopted. We describe here an improved method that makes novel use of the co-citation network of each article to field-normalize the number of citations it has received. The resulting Relative Citation Ratio is article-level and field-independent, and provides an alternative to the invalid practice of using Journal Impact Factors to identify influential papers. To illustrate one application of our method, we analyzed 88,835 articles published between 2003 and 2010, and found that the National Institutes of Health awardees who authored those papers occupy relatively stable positions of influence across all disciplines. We demonstrate that the values generated by this method strongly correlate with the opinions of subject matter experts in biomedical research, and suggest that the same approach should be generally applicable to articles published in all areas of science. A beta version of iCite, our web tool for calculating Relative Citation Ratios of articles listed in PubMed, is available at https://icite.od.nih.gov .

The authors have indicated that they are open to comments on their paper, so if you have comments, I recommend you post them to the preprint server or email them to the authors directly.

Chris Belter, MLS
Bibliometrics Informationist
National Institutes of Health Library
Division of Library Services
Office of Research Services
Bldg 10, Rm 1L09G, MSC 1150
Bethesda, MD 20892 USA
Tel: (301) 451-5861
Email: Christopher.Belter at nih.gov<mailto:Christopher.Belter at nih.gov>

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