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Article-Level Metrics and the Evolution of Scientific Impact

  • Cameron Neylon,

    Affiliation: Science and Technology Facilities Council, Rutherford Appleton Laboratory, Didcot, United Kingdom

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  • Shirley Wu mail

    swu@23andme.com

    Affiliation: 23andMe, Mountain View, California, United States of America

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  • Published: November 17, 2009
  • DOI: 10.1371/journal.pbio.1000242

Reader Comments (13)

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The explosion of experimental sites

Posted by GreySmithInstitute on 18 Nov 2009 at 14:00 GMT

One of the problems with using article level metrics is that few sites agree on which metrics they will gather. There are many places to "Publish" and no consistency yet in which metrics are most useful so each site may use it's own metrics.

Also, you might want to look at search engine hits, If you could filter by actual selection to limit the false positives, you might get an interest factor.

No competing interests declared.