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Perianes-Rodríguez, A., Olmeda-Gómez, C., & Moya-Anegón, F. Hybrid Indicators based on Scientific Collaboration to Quantify and Qualify Individual Research Outputs, 2008. In 10th International Conference on Science and Technology Indicators,Vienna (Austria),17th-20th September 2008.pp.397-399. (Published) [Conference Poster].

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Citable URI: http://hdl.handle.net/10760/12402

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Author(s): Perianes-Rodríguez, Antonio
Olmeda-Gómez, Carlos
Moya-Anegón, Félix
Title: Hybrid Indicators based on Scientific Collaboration to Quantify and Qualify Individual Research Outputs
Subjects: B. Information use and sociology of information > BB. Bibliometric methods
Date: 2008
Abstract: Governmental initiatives around scientific policy have progressively raised collaboration to priority status. In this context, a need has arisen to broaden the traditional approach to the analysis and study of research results by descending to the group or even the individual scale and supplementing the output-, productivity‑, visibility- and impact-based focus with new measures that emphasize collaboration from the vantage of structural analysis. To this end, the present paper proposes new hybrid indicators for the analysis and evaluation of individual research results, popularity and prestige, that combine bibliometric and structural aspects. A case study was conducted of the nine most productive departments in Carlos III University of Madrid. The findings showed hybridization to be a tool sensitive to traditional indicators, but also to the new demands of modern science as a self-organized system of interaction among individuals, furnishing information on researchers' environments and the behaviour and attitudes adopted within those environments.
Conference: 10th International Conference on Science and Technology Indicators
Conference Date: 17th-20th September 2008
Location: Vienna (Austria)
Starting page: 397
Ending page: 399
Alternative Locations: http://systemsresearch.ac.at/sti-conference/contributions.htm
Keywords: Scientific collaboration, bibliometric analysis, network analysis, hybrid indicators
Country: Spain
Type: Conference Poster
Rights: http://creativecommons.org/publicdomain/mark/1.0/



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