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Influence of interdisciplinarity on scientific impact: The case of climate change field
Institution:1. Department of Information Resources Management, School of Public Affairs, Zhejiang University, No. 866 Yuhangtang Road, Hangzhou 310058, China;2. School of Information Resource Management, Renmin University of China, Beijing, China;3. Centre for Science and Technology Studies (CWTS), Leiden University, Leiden, The Netherlands;1. School of Economics and Management, Xidian University, Xi''an 710126, China;2. School of Information Management, Wuhan University, Wuhan 430072, China;3. Information Retrieval and Knowledge Mining Laboratory, Wuhan University, Wuhan 430072, China;1. Library, Nanjing Medical University, Nanjing 210029, China;2. State Key Laboratory of Analytical Chemistry for Life Science, School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China
Abstract:As interdisciplinary research attracts more attention, interdisciplinarity has also become a significant factor to be explored for scientific impact. This study explored the influence of interdisciplinarity on scientific impact in the field of climate change, based on data from Web of Science. Taking newly-developed indicator DIV* and its components variety, balance, and disparity as interdisciplinarity measures, we used OLS regression with robust standard errors and topic analysis to analyze their relationships with short-term and long-term scientific impact, respectively. We found that (1) DIV* has an inverted U-shaped relationship with scientific impact in overall positive correlation. Since most scientific publications are distributed before the inflection point of the U-shaped curve, both long- and short-term scientific impact increased with the growth of interdisciplinarity with a declining growth rate in most cases. (2) For the three components of DIV*, balance and disparity are negatively and positively correlated with scientific impact, respectively, while variety has an inverted U-shaped relationship with scientific impact. (3) In terms of eight sub-topics of climate change research classified by LDA, a technique used for topic modeling, their relationships between interdisciplinarity and scientific impact are generally consistent with the overall data sample. Before the inflection point, high scientific impacts benefited from high interdisciplinarity. These findings provided theoretical and decision-making support for evaluating the impact of interdisciplinary research in the field of climate change.
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