Search (2 results, page 1 of 1)

  • × author_ss:"Davis, P.M."
  • × theme_ss:"Benutzerstudien"
  1. Davis, P.M.; Solla, L.R.: ¬An IP-level analysis of usage statistics for electronic journals in chemistry : making inferences about user behavior (2003) 0.02
    0.02397386 = product of:
      0.07192158 = sum of:
        0.07192158 = weight(_text_:electronic in 1823) [ClassicSimilarity], result of:
          0.07192158 = score(doc=1823,freq=4.0), product of:
            0.19623034 = queryWeight, product of:
              3.9095051 = idf(docFreq=2409, maxDocs=44218)
              0.05019314 = queryNorm
            0.3665161 = fieldWeight in 1823, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.9095051 = idf(docFreq=2409, maxDocs=44218)
              0.046875 = fieldNorm(doc=1823)
      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.
  2. Davis, P.M.: Information-seeking behavior of chemists : a transaction log analysis of referral URLs (2004) 0.02
    0.02397386 = product of:
      0.07192158 = sum of:
        0.07192158 = weight(_text_:electronic in 2208) [ClassicSimilarity], result of:
          0.07192158 = score(doc=2208,freq=4.0), product of:
            0.19623034 = queryWeight, product of:
              3.9095051 = idf(docFreq=2409, maxDocs=44218)
              0.05019314 = queryNorm
            0.3665161 = fieldWeight in 2208, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.9095051 = idf(docFreq=2409, maxDocs=44218)
              0.046875 = fieldNorm(doc=2208)
      0.33333334 = coord(1/3)
    
    Abstract
    This study reports an analysis of referral URL data by the Cornell University IP address from the American Chemical Society servers. The goal of this work is to better understand the tools used and pathways taken when scientists connect to electronic journals. While various methods of referral were identified in this study, most individuals were referred infrequently and followed few and consistent pathways each time they connected. The relationship between the number and types of referrals followed an inverse-square law. Whereas the majority of referrals came from established finding tools (library catalog, library e-journal list, and bibliographic databases), a substantial number of referrals originated from generic Web searches. Scientists are also relying an local alternatives or substitutes such as departmental or personal Web pages with lists of linked publications. The use of electronic mail as a method to refer scientists directly to online articles may be greatly underestimated. Implications for the development of redundant library services such as e-journal lists and the practice of publishers to allow linking from other resources are discussed.