Work

Collaborative development of the Arrowsmith two node search interface designed for laboratory investigators.

Year: 2006

Type: article

Abstract: Arrowsmith 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.

Source: Journal of Biomedical Discovery and Collaboration

DOI: 10.1186/1747-5333-1-8

Authors: Neil R Smalheiser, Vetle I Torvik, Amanda Bischoff-Grethe, Lauren B Burhans, Michael Gabriel, Ramin Homayouni, Alireza Kashef, Maryann E Martone, Guy A Perkins, Diana L Price, Andrew C Talk, Ruth West

Institutions: University of Illinois Chicago, University of California San Diego, VA San Diego Healthcare System, University of Illinois Urbana-Champaign, University of Illinois System, University of Memphis

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: diamond

Funders: National Institute of Mental Health, U.S. National Library of Medicine

OpenAlex ID: W1509877324

FWCI: 2.086

Cites: 59

Cited by: 31

Related to: 10