Abstract
Quertle: The Conceptual Relationships Alternative Search Engine for PubMed
Highlights
Quertle searching works well for queries that do not have a Medical Subject Headings (MeSH) equivalent in PubMed
Quertle is a website that is a relatively new third-party tool for interacting with PubMed. This search engine describes itself as a ‘‘relationship-driven biomedical search’’ tool that is ‘‘designed by biomedical professionals for biomedical professionals.’’ The two doctoral-degreed researchers who created Quertle are Jeff Saffer and Vicki Burnett, both biomedical informatics researchers who wanted a search engine that would be able to pinpoint the most relevant citations for their research
‘‘caffeine migraine’’ as searched on Quertle will find both terms in a relationship such as ‘‘caffeine treats migraines,’’ rather than the usual search of PubMed where the documents will merely contain both search terms somewhere in the records
Summary
Quertle searching works well for queries that do not have a Medical Subject Headings (MeSH) equivalent in PubMed. Quertle describes its niche as finding highly relevant results in context, not just retrieving long lists of documents. ‘‘caffeine migraine’’ as searched on Quertle will find both terms in a relationship such as ‘‘caffeine treats migraines,’’ rather than the usual search of PubMed where the documents will merely contain both search terms somewhere in the records.
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