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dc.contributor.authorSmalheiser, Neil R.
dc.contributor.authorTorvik, Vetle I.
dc.contributor.authorBischoff-Grethe, Amanda
dc.contributor.authorBurhans, Lauren B.
dc.contributor.authorGabriel, Michael
dc.contributor.authorHomayouni, Ramin
dc.contributor.authorKashef, Alireza
dc.contributor.authorMartone, Maryann E
dc.contributor.authorPerkins, Guy A
dc.contributor.authorPrice, Diana L
dc.contributor.authorTalk, Andrew C
dc.contributor.authorWest, Ruth
dc.date.accessioned2006-12-13T20:53:30Z
dc.date.available2006-12-13T20:53:30Z
dc.date.issued2006-07-03
dc.identifier.bibliographicCitationdoi:10.1186/1747-5333-1-8en
dc.identifier.urihttp://hdl.handle.net/10027/65
dc.description.abstractArrowsmith is a unique computer-assisted strategy designed to assist investigators in detecting biologically-relevant connections between two disparate sets of articles in Medline. This paper describes how an inter-institutional consortium of neuroscientists used the UIC Arrowsmith web interface http://arrowsmith.psych.uic.edu in their daily work and guided the development, refinement and expansion of the system into a suite of tools intended for use by the wider scientific community.en
dc.format.extent616842 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen
dc.publisherJournal of Biomedical Discovery and Collaboration 2006, 1:8en
dc.titleCollaborative development of the Arrowsmith two node search interface designed for laboratory investigatorsen
dc.typeArticleen


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