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Because eTBLAST is a text-similarity engine rather than a simple keyword-based search tool, it is claimed that the user need not identify and manipulate query keywords and Boolean operators, as must be done for other search engines.
eTBLAST aims to help the user rapidly to find references, evaluate novelty, find experts and journals in a given topical area and track the popularity of the topic as defined by the user’s query.
A typical query of 100 words takes 1-2 minutes to return results after a comparison to MEDLINE that as of 1/1/2007 contains over 16 million records.
|This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia article "ETBLAST". A list of authors is available in Wikipedia.|