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Earlier Web Usage Statistics as Predictors of Later Citation Impact

Brody, T., Harnad, S. and Carr, L. (2006) Earlier Web Usage Statistics as Predictors of Later Citation Impact. Journal of the American Association for Information Science and Technology (JASIST), 57 (8). pp. 1060-1072.

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Abstract

Abstract: The use of citation counts to assess the impact of research articles is
well established. However, the citation impact of an article can only be measured
several years after it has been published. As research articles are increasingly
accessed through the Web, the number of times an article is downloaded can be
instantly recorded and counted. One would expect the number of times an article is
read to be related both to the number of times it is cited and to how old the
article is. This paper analyses how short-term Web usage impact predicts
medium-term citation impact. The physics e-print archive -- arXiv.org -- is used to
test this.

Creators:Tim Brody, Stevan Harnad, Les Carr
Item Type:Article
Keywords:open access, research impact, self-archiving, journal publication, downloads, citations
Additional Information:DOI: 10.1002/asi.20373
Research Group:Intelligence, Agents, Multimedia
Deposited On:18 May 2005 by Harnad, Stevan
Alternative Locations:http://www3.interscience.wiley.com/cgi-bin/fulltex..., http://www3.interscience.wiley.com/cgi-bin/fulltex...
ID Code:10713
Last Modified:11 Nov 2009 12:22
Performance Indicator:EZ~03~03~06
Citations:ISI: 17, Google Scholar: 115

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References in Article

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http://citebase.eprints.org/analysis/correlation.php

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Harnad, Stevan; Brody, Tim (2004) "Prior evidence that downloads predict

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Harnad, Stevan (2001) "The Self-Archiving Initiative." Nature 410:1024-1025

http://cogprints.ecs.soton.ac.uk/archive/00001642/

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