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Earlier Web usage statistics as predictors of later citation impact

Earlier Web usage statistics as predictors of later citation impact 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. The authors analyze how short‐term Web usage impact predicts medium‐term citation impact. The physics e‐print archive—arXiv.org—is used to test this. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of the Association for Information Science and Technology Wiley

Earlier Web usage statistics as predictors of later citation impact

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References (22)

Publisher
Wiley
Copyright
Copyright © 2006 Wiley Subscription Services, Inc., A Wiley Company
ISSN
2330-1635
eISSN
2330-1643
DOI
10.1002/asi.20373
Publisher site
See Article on Publisher Site

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. The authors analyze how short‐term Web usage impact predicts medium‐term citation impact. The physics e‐print archive—arXiv.org—is used to test this.

Journal

Journal of the Association for Information Science and TechnologyWiley

Published: Jun 1, 2006

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