[Sigmetrics] Preprint: Relative Citation Ratio

[Stephen Gallo]

Thanks Chris, this is very interesting, especially with regard to the
linkage with peer review results!

Steve

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On Wed, Nov 4, 2015 at 9:05 AM, Belter, Christopher (NIH/OD/ORS) [E] <
christopher.belter at nih.gov> wrote:

> 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
>
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>
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>
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>
> Tel: (301) 451-5861
>
> Email: Christopher.Belter at nih.gov
>
>
>
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