Online search patterns: NLM CATLINE database
John E. Tolle and
Sehchang Hah
Journal of the American Society for Information Science, 1985, vol. 36, issue 2, 82-93
Abstract:
In this article the authors present their analysis of the online search patterns within user searching sessions of the National Library of Medicine ELHILL system and examine the user search patterns on the CATLINE database. In addition to the CATLINE analysis, a comparison is made using data previously analyzed on the MEDLINE database for the same time period, thus offering an opportunity to compare the performance parameters of different databases within the same information system. Data collection covers eight weeks and includes 441, 282 transactions and over 11, 067 user sessions, which accounted for 1680 hours of system usage. The descriptive analysis contained in this report can assist system design activities, while the predictive power of the transaction log analysis methodology may assist the development of real‐time aids.
Date: 1985
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1002/asi.4630360203
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:jamest:v:36:y:1985:i:2:p:82-93
Ordering information: This journal article can be ordered from
https://doi.org/10.1002/(ISSN)1097-4571
Access Statistics for this article
More articles in Journal of the American Society for Information Science from Association for Information Science & Technology
Bibliographic data for series maintained by Wiley Content Delivery ().