To Google or not to Google, this is the question.
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.
Medline/PubMed revisited: new, semantic tools to explore the biomedical literature.
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.