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A Day in the Life of PubMed: Analysis of a Typical Day's Query Log
Open accessAbstract
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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Herskovic et al.'s study was limited to a single day of data and based only on analysis of PubMed queries.
“However, their work was limited to a single day of data and was based on only the analysis of PubMed queries.”
From Understanding PubMed(R) user search behavior through log analysis (2009) · cites this paper as [10]
Only one prior study has focused on PubMed use on a large scale.
“Only one, to our knowledge has focused on PubMed use on a large scale (10).”
From Understanding PubMed(R) user search behavior through log analysis (2009) · cites this paper as [10]
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Metadata
- Authors
- Herskovic, J. R., Tanaka, L. Y., Hersh, W., & Bernstam, E. V.
- Affiliations
- The University of Texas Health Science Center at Houston (US)
- Oregon Health & Science University (US)
- Corresponding author
- Bernstam, E. V.
- Venue
- Journal of the American Medical Informatics Association
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-03-01
- Volume
- 14
- Issue
- 2
- Pages
- 212-220
- ISSN
- 1067-5027 (ISSN-L)
- 1527-974X
- PMC
- PMC2213463
- OpenAlex
- W2098146716
- Cited by
- 170
- References
- 15
- Citations by year
- 2025: 2 · 2024: 5 · 2023: 4 · 2022: 4 · 2021: 7 · 2020: 8 · 2019: 6 · 2018: 4 · 2017: 4 · 2016: 10 · 2015: 10 · 2014: 32 · 2013: 11 · 2012: 12
- FWCI
- 34.86
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of the American Medical Informatics Association (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Digital Commons-TMC (Texas Medical Center) (submittedVersion)
- Funders
- W. M. Keck Foundation
- National Institutes of Health (5k22lm008306-03)
- U.S. National Library of Medicine (5K22LM008306, K22 LM008306)
- National Center for Research Resources (UL1RR024148)
- Topics
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Social Sciences › Library and Information Sciences › Library Science and Information Literacy
- Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
- Keywords
- PubMed, query log analysis, user search behavior, search sessions, Boolean operators, search strategies, biomedical information retrieval
- MeSH terms
- Algorithms, Information Storage and Retrieval, Internet, PubMed, Medical Subject Headings
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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