. . . . . "ETBLAST"@en . . . "4511"^^ . . . . . . . . . . "9162441"^^ . . . . . . . . . . . . . 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"1122773909"^^ . . . . . "eTBLAST was a free text-similarity service now defunct. It was initially developed by Alexander Pertsemlidis and Harold \u201CSkip\u201D Garner in 2005 at The . It offered access to the following databases: \n* MEDLINE \n* National Institutes of Health (NIH) \n* CRISP \n* Institute of Physics (IOP) \n* Wikipedia \n* arXiv \n* NASA technical reports \n* Virginia Tech class descriptions \n* others of clinical interest"@en . . . . . . "\u0625\u062A\u0628\u0644\u0627\u0633\u062A"@ar . . . . 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"eTBLAST was a free text-similarity service now defunct. It was initially developed by Alexander Pertsemlidis and Harold \u201CSkip\u201D Garner in 2005 at The . It offered access to the following databases: \n* MEDLINE \n* National Institutes of Health (NIH) \n* CRISP \n* Institute of Physics (IOP) \n* Wikipedia \n* arXiv \n* NASA technical reports \n* Virginia Tech class descriptions \n* others of clinical interest eTBLAST searched citation databases and databases containing full-text such as PUBMED. It compared a user\u2019s natural-text query with target databases utilizing a hybrid-search algorithm. The algorithm consisted of a low-sensitivity, weighted, keyword-based first pass followed by a novel second pass based on sentence alignment. eTBLAST later became a web-based service of The Innovation Laboratory at the Virginia Bioinformatics Institute. The text-similarity engine studied duplicate publications and potential plagiarism in biomedical literature. eTBLAST received thousands of random samples of Medline abstracts for a large-scale study. Those with the highest similarity were assessed then entered into an on-line database. The work revealed several trends including an increasing rate of duplication in the biomedical literature, according to prominent scientific journals Bioinformatics,, Clinical Chemistry, , Nature, and Science."@en . . . . . . . . . . . . .