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Please use this identifier to cite or link to this item: http://hdl.handle.net/1813/2564
Title: An IP-level analysis of usage statistics for electronic journals in chemistry: Making inferences about user-behavior.
Authors: Davis, Philip M.
Solla, Leah
Keywords: e-journals
usage analysis
American Chemical Society
IP address
Issue Date: Sep-2003
Publisher: Wiley
Citation: JASIST, (54):11, 2003 p.1062-1068.
Abstract: This study reports an analysis of American Chemical Society electronic journal downloads at Cornell University by individual IP addresses. While the majority of users (IPs) limited themselves to a small number of both journals and article downloads, a small minority of heavy users had a large effect on total journal downloads. There was a very strong relationship between the number of article downloads and the number of users, implying that a user-population can be estimated by just knowing the total use of a journal. Aggregate users (i.e. Library Proxy Server and public library computers) can be regarded as a sample of the entire user population. Analysis of article downloads by format (PDF vs HTML) suggests that individuals are using the system like a networked photocopier, for the purposes of creating print-on-demand copies of articles.
URI: http://hdl.handle.net/1813/2564
Appears in Collections:Articles, Preprints, and Presentations by CUL Staff

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