Synthetic hybrid indicators based on scientific collaboration to quantify and evaluate individual research results |
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| Authors: | Antonio Perianes-Rodríguez Zaida Chinchilla-Rodríguez Benjamín Vargas-Quesada Carlos Olmeda Gómez Félix Moya-Anegón |
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| Institution: | 1. Carlos III University of Madrid, Department of Library and Information Science, Getafe, Spain;2. University of Granada, Department of Information Science, Granada, Spain;3. Institute of Public Good and Policies, CSIC, Madrid, Spain;4. SCImago Research Group, Spain;1. Department of Civil and Environmental Engineering, Universidad de los Andes, Bogotá, Colombia;2. Department of Civil and Environmental Engineering, Rice University, Houston, TX, USA;1. Adam Mickiewicz University, Faculty of Biology, Department of Hydrobiology, Umultowska 89, 61-614 Poznań, Poland;2. Adam Mickiewicz University – Europa-Universität Viadrina, Polish-German Research Institute, Collegium Polonicum, Ko?ciuszki 1, 69-100 S?ubice, Poland;1. Ningbo City College of Vocational Technology, Ningbo 315502, PR China;2. Faculty of Life Science and Biotechnology, Ningbo University, Ningbo 315211, PR China;3. Research Institute of Subtropical Forestry, CAF, Fuyang 311400, PR China;4. College of Life Sciences, Zhejiang University, Hangzhou 310012, PR China;1. Swiss Federal Research Institute WSL, Research Unit Forest Resources and Management, Zuercherstr. 111, CH-8903 Birmensdorf, Switzerland;2. Forest Research Institute of Baden-Wuerttemberg, Department of Biometrics and Informatics, Wonnhaldestr. 4, D-79100 Freiburg, Germany;3. Forest Research Institute of Baden-Wuerttemberg, Department of Forest Ecology, Wonnhaldestr. 4, D-79100 Freiburg, Germany;1. University of Vermont, Rubenstein School of Environment and Natural Resources, Wildlife and Fisheries Biology Program, George D. Aiken Center, 81 Carrigan Drive, Burlington, VT 05405, USA;2. Denver Zoo – Mongolia Program, Mongolian Academy of Sciences, Ulaanbaatar, Mongolia;3. U.S. Geological Survey, Vermont Cooperative Fish and Wildlife Research Unit, University of Vermont, George D. Aiken Center, Burlington, VT 05405, USA;4. Denver Zoological Foundation, Conservation Biology Department, 2300 Steele Street, Denver, CO 80205, USA;1. Department of Economics and Related Studies, University of York, UK;2. School of Economics and Granger Centre for Time Series Econometrics, University of Nottingham, UK;3. Essex Business School, University of Essex, UK |
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| 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. |
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