Cornell University
Library
Cornell UniversityLibrary

eCommons

Help
Log In(current)
  1. Home
  2. Cornell University Library
  3. Articles, Preprints, and Presentations by CUL Staff
  4. An IP-level analysis of usage statistics for electronic journals in chemistry: Making inferences about user-behavior.

An IP-level analysis of usage statistics for electronic journals in chemistry: Making inferences about user-behavior.

File(s)
54.11davis.pdf (127.39 KB)
Permanent Link(s)
https://hdl.handle.net/1813/2564
Collections
Articles, Preprints, and Presentations by CUL Staff
Author
Davis, Philip M.
Solla, Leah
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.

Date Issued
2003-09
Publisher
Wiley
Keywords
e-journals
•
usage analysis
•
American Chemical Society
•
IP address
Previously Published as
JASIST, (54):11, 2003 p.1062-1068.
Type
article

Site Statistics | Help

About eCommons | Policies | Terms of use | Contact Us

copyright © 2002-2026 Cornell University Library | Privacy | Web Accessibility Assistance