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The emergence of team science

Understanding the state of adoption research through social network analysis

Bibliographic Data

ID11942071
AuthorsCatherine A Hamilton (University of Florida, corresponding author), R Vacca (0000-0001-9908-3747, University of Florida), Jeanne-Marie R Stacciarini (0000-0003-0261-8413, University of Florida)
Year2017
Volume41
Issue4
Pages369-390
Publication date2017-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAdoption & Fostering (JOURNAL)
Journal identifiersISSN: 0308-5759 • E-ISSN: 1740-469X
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/0308575917714714
PMID31327888
OpenAlexW2739538137
LanguageEN
Citations received1
References cited39

The notion of team science has recently gained popularity in European and American health sciences considering increasing evidence that scientific collaboration produces higher-impact research and that complex scientific problems are better investigated by interdisciplinary teams. While publication metrics indicate adoption research is expanding, the comprehensive structure of adoption studies as a scientific field has not been formally evaluated for collaborative and cross-disciplinary activity. This article aims to elucidate the structure, composition, and dynamics of scientific relationships within adoption research that may inform research and practice strategies, competencies, and cohesion within the field. Using social network analysis, we extracted bibliographic data on 2767 peer-reviewed adoption-related articles from 1930s to 2014 and evaluated the resulting co-authorship and co-citation networks. We found that adoption research has grown substantially over the last 25 years, and is conducted in varied disciplines, with increasing collaboration across geography and disciplinary areas. The co-authorship and co-citation networks are approaching numeric thresholds and structural configurations distinctive of well-established and more institutionalized fields of study. These findings reveal the maturation of adoption studies as a team science and argue for the development of institutional mechanisms that support such evolution. Implications for professional and research planning are discussed

Bibliometrics · Citation · Co-citation · Cohesion (chemistry · Data science · Discipline · Field (mathematics · Knowledge management · Library science · Popularity · Social capital · Social network analysis · Social science · Sociology · Team composition · Computer Science · Health Policy Implementation Science · Mental Health and Patient Involvement · Psychology · scientometrics and bibliometrics research · Social Psychology

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Unique citing works1
Citations per year0,17
Citation span2020 - 2020 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1
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