McDonald JD "Understanding Online Journal Usage: A Statistical Analysis of Citation and Use " Journal of the American Society for Information Science & Technology 58(1): 39-50, January 1, 2007

[Eugene Garfield]

Email: jmcdonald at library.caltech.edu

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FULL TEXT AVAILABLE AT :
http://caltechlib.library.caltech.edu/92/01/Preprint_Version.pdf

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Email: jmcdonald at library.caltech.edu

AUTHOR : JD McDonald 

TITLE  : Understanding Online Journal Usage: A Statistical Analysis of 
Citation and Use

SOURCE : Journal of the American Society for Information Science & 
Technology 58(1): 39-50, January 1, 2007

Address :
California Institute of Technology, Millikan Library 1-3, Pasadena, CA 
91125 

Email: jmcdonald at library.caltech.edu

ABSTRACT:
This study examined the relationship betweenprint 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 Open URL 
resolver significantly impacts citations and publisher provided journal 
usage measures.