Davis, P.M.; Solla, L.R.: ¬An IP-level analysis of usage statistics for electronic journals in chemistry : making inferences about user behavior (2003)
0.01
0.0056292685 = product of:
0.016887804 = sum of:
0.016887804 = product of:
0.03377561 = sum of:
0.03377561 = weight(_text_:system in 1823) [ClassicSimilarity], result of:
0.03377561 = score(doc=1823,freq=2.0), product of:
0.16177002 = queryWeight, product of:
3.1495528 = idf(docFreq=5152, maxDocs=44218)
0.051362853 = queryNorm
0.20878783 = fieldWeight in 1823, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.1495528 = idf(docFreq=5152, maxDocs=44218)
0.046875 = fieldNorm(doc=1823)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- 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 an 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 versus HTML) suggests that individuals are using the system like a networked photocopier, for the purposes of creating print-on-demand copies of articles.