TY - JOUR
T1 - A Day in the Life of PubMed
T2 - Analysis of a Typical Day's Query Log
AU - Herskovic, Jorge R.
AU - Tanaka, Len Y.
AU - Hersh, William
AU - Bernstam, Elmer V.
PY - 2007/3
Y1 - 2007/3
N2 - Objective: To characterize PubMed usage over a typical day and compare it to previous studies of user behavior on Web search engines. Design: We performed a lexical and semantic analysis of 2,689,166 queries issued on PubMed over 24 consecutive hours on a typical day. Measurements: We measured the number of queries, number of distinct users, queries per user, terms per query, common terms, Boolean operator use, common phrases, result set size, MeSH categories, used semantic measurements to group queries into sessions, and studied the addition and removal of terms from consecutive queries to gauge search strategies. Results: The size of the result sets from a sample of queries showed a bimodal distribution, with peaks at approximately 3 and 100 results, suggesting that a large group of queries was tightly focused and another was broad. Like Web search engine sessions, most PubMed sessions consisted of a single query. However, PubMed queries contained more terms. Conclusion: PubMed's usage profile should be considered when educating users, building user interfaces, and developing future biomedical information retrieval systems.
AB - Objective: To characterize PubMed usage over a typical day and compare it to previous studies of user behavior on Web search engines. Design: We performed a lexical and semantic analysis of 2,689,166 queries issued on PubMed over 24 consecutive hours on a typical day. Measurements: We measured the number of queries, number of distinct users, queries per user, terms per query, common terms, Boolean operator use, common phrases, result set size, MeSH categories, used semantic measurements to group queries into sessions, and studied the addition and removal of terms from consecutive queries to gauge search strategies. Results: The size of the result sets from a sample of queries showed a bimodal distribution, with peaks at approximately 3 and 100 results, suggesting that a large group of queries was tightly focused and another was broad. Like Web search engine sessions, most PubMed sessions consisted of a single query. However, PubMed queries contained more terms. Conclusion: PubMed's usage profile should be considered when educating users, building user interfaces, and developing future biomedical information retrieval systems.
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U2 - 10.1197/jamia.M2191
DO - 10.1197/jamia.M2191
M3 - Article
C2 - 17213501
AN - SCOPUS:33847046721
SN - 1067-5027
VL - 14
SP - 212
EP - 220
JO - Journal of the American Medical Informatics Association
JF - Journal of the American Medical Informatics Association
IS - 2
ER -