Earlier Web usage statistics as predictors of later citation impact: Research Articles

by: Tim Brody, Stevan Harnad, Leslie Carr

J. Am. Soc. Inf. Sci. Technol., Vol. 57, No. 8. (June 2006), pp. 1060-1072.

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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.

@article{citeulike:1922722, 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.}, address = {New York, NY, USA}, author = {Brody, Tim and Harnad, Stevan and Carr, Leslie }, citeulike-article-id = {1922722}, doi = {10.1002/asi.v57:8}, issn = {1532-2882}, journal = {J. Am. Soc. Inf. Sci. Technol.}, keywords = {bibliometrics, peer\_review}, month = {June}, number = {8}, pages = {1060--1072}, posted-at = {2007-11-15 14:54:01}, priority = {3}, publisher = {John Wiley \& Sons, Inc.}, title = {Earlier Web usage statistics as predictors of later citation impact: Research Articles}, url = {http://portal.acm.org/citation.cfm?id=1133195.1133206}, volume = {57}, year = {2006} }

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TY - JOUR ID - citeulike:1922722 L3 - citeulike-article-id:1922722 TI - Earlier Web usage statistics as predictors of later citation impact: Research Articles JF - J. Am. Soc. Inf. Sci. Technol. VL - 57 IS - 8 SP - 1060 EP - 1072 AD - New York, NY, USA PB - John Wiley & Sons, Inc. SN - 1532-2882 N2 - 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. KW - bibliometrics KW - peer_review AU - Brody, Tim AU - Harnad, Stevan AU - Carr, Leslie PY - 2006/06// UR - http://portal.acm.org/citation.cfm?id=1133195.1133206 ER -

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