How to detect the sleeping beauty papers and princes in technology considering indirect citations? |
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| Institution: | 1. The College of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China;2. School of Economics and Management, China University of Geosciences, Beijing 100083, China;3. Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources, Beijing 100083, China;4. Chinese Academy of Geological Sciences, Beijing 100037, China;1. School of Business Administration, East China Normal University, Shanghai 200062;2. Institute of Big Data, Fudan University, Shanghai 200433;3. National Institute of Intelligent Evaluation and Governance, Fudan University, Shanghai 200433;4. School of Economics, Shandong University, Jinan, Shandong 250100;1. Max Planck Institute for Solid State Research, Heisenbergstr. 1, Stuttgart 70569 Germany;2. Science Policy and Strategy Department, Administrative Headquarters of the Max Planck Society, Hofgartenstr. 8, Munich 80539 Germany;1. Harbin Institute of Technology (Shenzhen), School of Economics and Management, Shenzhen, China;2. World Intellectual Property Organization, Geneva, Switzerland;3. CIRCLE, Lund University, P.O. Box 7080, Lund S-220 07, Sweden;4. Institute for Future Initiative, The University of Tokyo, Tokyo, Japan;1. School of Information Management, Wuhan University, Wuhan, Hubei, China;2. Information Retrieval and Knowledge Mining Laboratory, Wuhan University, Wuhan, Hubei, China;3. Department of Information Management, Peking University, Beijing, China;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 |
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| Abstract: | In science-technology research, papers and patents are used to represent science and technology, respectively. Detecting sleeping beauty papers and their princes in technology (patent field) could uncover dynamic knowledge contributions from science (paper field) to technology (patent field). However, previous studies have mainly focused on sleeping beauty in science. Some studies have examined SB patents in technology, but SB papers in patents are rarely studied and need to be further discussed. In addition, knowledge could flow along citations. Thus, if one paper is cited by one patent's reference (indirect citation), it also contributes to the patent, even though the patent does not directly cite it. At the same time, indirect citations are rarely discussed in sleeping beauty studies. This could lead to a loss of significant information. Therefore, to reveal the dynamic knowledge contribution from science to technology considering indirect citations, this study proposed a new method of mining sleeping beauty papers in technology and their princes. The lithium-ion battery domain is selected as a case study. The findings are as follows: (1) Most papers do not contribute knowledge to technology continuously, even when considering indirect citations, and the time-varying knowledge contribution strength changes significantly overtime. (2) The knowledge contribution strength with a time delay of more than 11 years occupies 80% of the total knowledge contribution strength. It is suggested that the window period of paper publication evaluation be extended. (3) 22 sleeping beauty papers in technology are detected. Nine papers are among the top 10 regarding the total knowledge contribution strength. (4) The princes of 9 typical sleeping beauty papers in technology are all papers. This implies that the awakening of these papers in technology was all provoked by scientific development. |
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