Davis, P.M.; Solla, L.R.: ¬An IP-level analysis of usage statistics for electronic journals in chemistry : making inferences about user behavior (2003)
0.00
0.0030444188 = product of:
0.0060888375 = sum of:
0.0060888375 = product of:
0.012177675 = sum of:
0.012177675 = weight(_text_:a in 1823) [ClassicSimilarity], result of:
0.012177675 = score(doc=1823,freq=18.0), product of:
0.053105544 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.046056706 = queryNorm
0.22931081 = fieldWeight in 1823, product of:
4.2426405 = tf(freq=18.0), with freq of:
18.0 = termFreq=18.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.046875 = fieldNorm(doc=1823)
0.5 = coord(1/2)
0.5 = coord(1/2)
- 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.
- Type
- a
