Prior evidence that downloads predict citations

Harnad, S. and Brody, T. (2004) Prior evidence that downloads predict citations.

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Abstract

Pernbeger's (2004) finding that download counts (what we call "usage impact") of British Medical Journal articles predict citation counts ("citation impact") for those articles in subsequent years confirm what Tim Brody's online usage/citation correlator http://citebase.eprints.org/analysis/correlation.php has been demonstrating for several years now across a number of areas in physics and mathematics ( Brody & Harnad 2004, in prep.): There is a significant correlation between downloads today and citations two years later.

Item Type:	Other
Creator/Authors:	Stevan Harnad Tim Brody
Keywords:	open access, research impact, self-archiving, journal publication, downloads, citations
Research Group:	Current ECS Groups > Web and Internet Science Old ECS Groups > Intelligence, Agents, Multimedia
Alternative Locations:	http://bmj.bmjjournals.com/cgi/content/full/329/74..., http://www.ecs.soton.ac.uk/~harnad/Temp/BMJ1.html
Date:	2004
Information about this record:
Performance Indicator:	EZ~02~02~11
Downloads (2010):	25
ID Code:	10206
Last Modified:	23 Sep 2011 10:31
Deposited On:	02 Jan 2005 by Harnad, Stevan

Available versions of this item

• Measuring and Maximising UK Research Impact. (deposited 19 Jun 2003)
  • Let All Knowledge Be Free That Wants to be Free. (deposited 15 Sep 2004)
    • Enrich Impact Measures Through Open Access Analysis. (deposited 02 Jan 2005)
      • Prior evidence that downloads predict citations. (deposited 02 Jan 2005) [Currently Displayed]
        • Comparing the Impact of Open Access (OA) vs. Non-OA Articles in the Same Journals. (deposited 02 Jan 2005)

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