An IP-level analysis of usage statistics for electronic journals in chemistry: Making inferences about user-behavior.
| dc.contributor.author | Davis, Philip M. | |
| dc.contributor.author | Solla, Leah | |
| dc.date.accessioned | 2005-12-22T16:00:44Z | |
| dc.date.available | 2005-12-22T16:00:44Z | |
| dc.date.issued | 2003-09 | |
| dc.description.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. | en_US |
| dc.format.extent | 130445 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | JASIST, (54):11, 2003 p.1062-1068. | en_US |
| dc.identifier.uri | https://hdl.handle.net/1813/2564 | |
| dc.language.iso | en_US | |
| dc.publisher | Wiley | en_US |
| dc.subject | e-journals | en_US |
| dc.subject | usage analysis | en_US |
| dc.subject | American Chemical Society | en_US |
| dc.subject | IP address | en_US |
| dc.title | An IP-level analysis of usage statistics for electronic journals in chemistry: Making inferences about user-behavior. | en_US |
| dc.type | article | en_US |
Files
Original bundle
1 - 1 of 1