Earlier Web Usage Statistics as Predictors of Later Citation Impact
Brody, Tim, Harnad, Stevan and Carr, Les (2006) Earlier Web Usage Statistics as Predictors of Later Citation Impact. Journal of the American Association for Information Science and Technology (JASIST), 57, (8), 1060-1072.
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Description/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.
Item Type: | Article |
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Additional Information: | DOI: 10.1002/asi.20373 |
Uncontrolled Keywords: | open access, research impact, self-archiving, journal publication, downloads, citations |
Related URLs: | www3.interscience.wiley.../HTMLSTART www3.interscience.wiley...2/PDFSTART |
Divisions: | Faculty of Physical and Applied Science > Electronics and Computer Science > Web & Internet Science |
ePrint ID: | 260713 |
URI: | eprints.soton.ac.uk/id/eprint/260713 |
Deposited On: | 18 May 2005 |
Last Modified: | 06 Mar 2012 16:57 |
Further Information: | Google Scholar |
ISI Citation Count: | 49 |
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Earlier Web Usage Statistics as Predictors of Later Citation Impact. (deposited 05 Mar 2005)
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