Work

Social Interactomes for Enabling Research Communities

Year: 2014

Type: article

Abstract: SUMMARY: Data-driven analyses of scientific abstracts with web apps such as "abstract interactomes" provide a new visualization tool for the biomedical research community to interactively navigate a rich assembly of investigators and identify common research topics. Alternative conference formats such as "social interactomes," with structured, albeit informal, discussions among attendees, are able to engage fellows and top investigators, facilitate the exchange of ideas, and encourage data sharing and future collaborations.

Source: Cancer Discovery

DOI: 10.1158/2159-8290.cd-14-0774

Authors: Justin Guinney, Rodrigo Dienstmann, Charles Ferté, Stephen Friend, Frank McCormick

Institutions: Sage Bionetworks, Fred Hutch Cancer Center, Inserm, Institut Gustave Roussy, University of California, San Francisco, Frederick National Laboratory for Cancer Research, UCSF Helen Diller Family Comprehensive Cancer Center, Leidos Biomedical Research Inc. (United States)

Language: English

Topic: Interdisciplinary Research and Collaboration

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

Open Access status: bronze

OpenAlex ID: W2169252855

FWCI:

Cites: 5

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Related to: 10