Analyzing linguistic complexity and scientific impact |
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| Institution: | 1. School of Economics and Management, Nanjing University of Science and Technology, Nanjing, Jiangsu, China;2. School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA;3. Center for Complex Networks and Systems Research, School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA;4. School of Management Science and Engineering, Shandong Normal University, Jinan, Shandong, China;5. School of Information Management, Nanjing University, Nanjing, Jiangsu, China;6. The University of Texas at Austin, Austin, TX, USA;7. École de bibliothéconomie et des sciences de l’information, Université de Montréal, Montréal, Québec, Canada;1. School of Economics and Management, Nanjing University of Science and Technology, Nanjing, Jiangsu, China;2. School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA;3. Center for Complex Networks and Systems Research, School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA;4. School of Management Science and Engineering, Shandong Normal University, Jinan, Shandong, China;5. School of Information Management, Nanjing University, Nanjing, Jiangsu, China;6. The University of Texas at Austin, Austin, TX, USA;7. École de bibliothéconomie et des sciences de l’information, Université de Montréal, Montréal, Québec, Canada;1. School of Economics & Management, Nanjing University of Science and Technology, Nanjing, 210093, China;2. Department of Computer Science and Technology, Nanjing University, Nanjing, 210093, China;3. Facultair Onderzoekscentrum ECOOM, KU Leuven, Naamsestraat 61, Leuven B-3000, Belgium;4. University of Antwerp, Faculty of Social Sciences, Middelheimlaan 1, B-2020 Antwerp, Belgium;5. School of Information Management, Nanjing University, Nanjing, 210093, China;6. College of Information and Technology, Nanjing Agricultural University, Nanjing, 210095, China;1. University of Hasselt, Belgium;2. University of Antwerp, Faculty of Social Sciences, B-2020 Antwerpen, Belgium;3. Centre for R&D Monitoring (ECOOM) and Dept. MSI, KU Leuven, Belgium;1. Laboratory for Studies in Research Evaluation at the Institute for System Analysis and Computer Science (IASI-CNR), National Research Council of Italy, Istituto di Analisi dei Sistemi e Informatica, Consiglio Nazionale delle Ricerche, Via dei Taurini 19, 00185, Roma, Italy;2. University of Rome “Tor Vergata”, Italy;3. Research Value s.r.l., Research Value, Via Michelangelo Tilli 39, 00156, Roma, Italy;1. Faculty of Social Sciences, University of Antwerp, 2020 Antwerpen, Belgium;2. Centre for R&D Monitoring (ECOOM) and Dept. MSI, KU Leuven, 3000 Leuven, Belgium;1. Department of Physics, University of Fribourg, Fribourg 1700, Switzerland;2. Fintech Research Institute, Shanghai University of Finance and Economics, Shanghai 200433, PR China;3. School of Systems Science, Beijing Normal University, Beijing 100875, PR China;4. Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 610054, PR China;5. Department of Radiation Oncology, Inselspital, University Hospital of Bern and University of Bern, Bern 3010, Switzerland |
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| Abstract: | The number of publications and the number of citations received have become the most common indicators of scholarly success. In this context, scientific writing increasingly plays an important role in scholars’ scientific careers. To understand the relationship between scientific writing and scientific impact, this paper selected 12 variables of linguistic complexity as a proxy for depicting scientific writing. We then analyzed these features from 36,400 full-text Biology articles and 1,797 full-text Psychology articles. These features were compared to the scientific impact of articles, grouped into high, medium, and low categories. The results suggested no practical significant relationship between linguistic complexity and citation strata in either discipline. This suggests that textual complexity plays little role in scientific impact in our data sets. |
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| Keywords: | English scientific writing Syntactic complexity Lexical complexity Lexical diversity Lexical density Lexical sophistication |
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