Search results outliers among MEDLINE platforms.


Journal

Journal of the Medical Library Association : JMLA
ISSN: 1558-9439
Titre abrégé: J Med Libr Assoc
Pays: United States
ID NLM: 101132728

Informations de publication

Date de publication:
Jul 2019
Historique:
received: 01 10 2018
accepted: 01 03 2019
entrez: 2 7 2019
pubmed: 2 7 2019
medline: 14 1 2020
Statut: ppublish

Résumé

Hypothetically, content in MEDLINE records is consistent across multiple platforms. Though platforms have different interfaces and requirements for query syntax, results should be similar when the syntax is controlled for across the platforms. The authors investigated how search result counts varied when searching records among five MEDLINE platforms. We created 29 sets of search queries targeting various metadata fields and operators. Within search sets, we adapted 5 distinct, compatible queries to search 5 MEDLINE platforms (PubMed, ProQuest, EBSCO Web of Science and ProQuest searches were the most likely to deviate from the equivalent PubMed searches. EBSCO Platform enhancements among interfaces affect record retrieval and challenge the expectation that MEDLINE platforms should, by default, be treated as MEDLINE. Substantial inconsistencies in search result counts, as demonstrated here, should raise concerns about the impact of platform-specific influences on search results.

Identifiants

pubmed: 31258442
doi: 10.5195/jmla.2019.622
pii: jmla-107-364
pmc: PMC6579582
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

364-373

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Auteurs

Christopher Sean Burns (CS)

Associate Professor, School of Information Science, University of Kentucky, Lexington, KY, sean.burns@uky.edu.

Robert M Shapiro (RM)

Assistant Professor, School of Information Science, University of Kentucky, Lexington, KY, shapiro.rm@uky.edu.

Tyler Nix (T)

Informationist, Taubman Health Sciences Library, University of Michigan, Ann Arbor, MI, tnix@umich.edu.

Jeffrey T Huber (JT)

Professor, School of Information Science, University of Kentucky, Lexington, KY, jeffrey.huber@uky.edu.

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Classifications MeSH