A Day In The Life of Pubmed: Analysis of A Typical Day's Query Log

Authors

Language

English

Publication Date

3-1-2007

Journal

Journal of the American Medical Informatics Association

DOI

10.1197/jamia.M2191

PMID

17213501

PMCID

PMC2213463

PubMedCentral® Posted Date

March 2007

PubMedCentral® Full Text Version

Post-print

Abstract

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.

Keywords

Algorithms, Information Storage and Retrieval, Internet, Medical Subject Headings, PubMed

Published Open-Access

yes

Recommended Citation

, "A Day In The Life of Pubmed: Analysis of A Typical Day's Query Log" (2007). Faculty, Staff and Student Publications. 40.
https://digitalcommons.library.tmc.edu/uthshis_docs/40