To Google or not to Google, this is the question.
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To Google or not to Google has become in the latest years a big question for researchers: immediate answers, but often thousands; sometimes pertinent, sometimes not reliable or too commercial-oriented. No doubt that Google always ''finds'' something and sometimes it is the only way, or it retrieves real pearls but where does it search? How can a researcher refine or limit the search? That is why we'll explore some Google features not so widely known, and other search engines with useful devices to perform a more efficient search in the biomedical field. (+info)
Clinical decision velocity is increased when meta-search filters enhance an evidence retrieval system.
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Medline/PubMed revisited: new, semantic tools to explore the biomedical literature.
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The aim of this contribution was to present some new search engines developed upon the logic of the semantic Web to explore the worldwide known Medline database in a way alternative to the common PubMed interface, clustering the results and allowing a different search. (+info)
Enhanced identification of eligibility for depression research using an electronic medical record search engine.
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