Understanding Online Journal Usage: A Statistical Analysis of Citation and Use
- Creators
- McDonald, John D.
Abstract
This study examined the relationship between print journal use, online journal use, and online journal discovery tools with local journal citations. Local use measures were collected from 1997 to 2004, and negative binomial regression models were designed to test the effect that local use, online availability, and access enhancements have on citation behaviors of academic research authors. Models are proposed and tested to determine whether multiple locally recorded usage measures can predict citations and if locally controlled access enhancements influence citation. The regression results indicated that print journal use was a significant predictor of local journal citations prior to the adoption of online journals. Publisher-provided and locally recorded online journal use measures were also significant predictors of local citations. Online availability of a journal was found to significantly increase local citations, and, for some disciplines, a new access tool like an OpenURL resolver significantly impacts citations and publisher-provided journal usage measures.
Additional Information
© 2007 Wiley Periodicals, Inc. Issue online: 13 December 2006; Version of record online: 9 November 2006; Manuscript Accepted: 16 December 2005; Manuscript Revised: 10 October 2005; Manuscript Received: 12 July 2005. I would like to gratefully thank Amelia McDonald, Michael Sedano, Phil Davis, David Mundo, and the faculty of the Department of Information Studies, UCLA for their diligent editing and helpful comments on early versions of this paper. I would also like to thank the two anonymous reviewers for their insightful suggestions.Attached Files
Submitted - Preprint_Version.pdf
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Additional details
- Eprint ID
- 25916
- Resolver ID
- CaltechLIB:2006.001
- Created
-
2006-05-18Created from EPrint's datestamp field
- Updated
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2021-11-09Created from EPrint's last_modified field
- Caltech groups
- Caltech Library