Classification of individual articles from all of science by research level |
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| Institution: | 1. SciTech Strategies, Inc., Albuquerque, NM 87122, USA;2. SciTech Strategies, Inc., Keene, NH 03431, USA;3. Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104, USA;4. SciTech Strategies, Inc., Berwyn, PA 19312, USA;1. The Graduate School of Public Policy and Information Technology, Seoul National University of Science and Technology, 172 Gongreung 2-dong, Nowon-gu, Seoul 139-746, Republic of Korea;2. Department of Systems Management Engineering, Sungkyunkwan University, 300 Chunchun-dong, Jangan-gu, Kyunggi-do 440-746, Republic of Korea;1. CNR-CERIS, National Research Council of Italy, Institute for Economic Research on Firm and Growth, via Real Collegio, 30, I-10024 Moncalieri (TO), Italy;2. University of Torino, Department of Chemistry, via P. Giuria, 7, I-10125 Torino, Italy;1. SciTech Strategies, Inc., United States;2. University of Pennsylvania, United States;1. School of Information Management, Wuhan University, Luojia Shan, Wuhan, Hubei Province 430072, PR China;2. School of Information and Safety Engineering, Zhongnan University of Economics and Law, 182# Nanhu Avenue, East Lake High-tech Development Zone, Wuhan 430073, PR China |
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| Abstract: | A system of four research levels, designed to classify scientific journals from most applied to most basic, was introduced by Francis Narin and colleagues in the 1970s. Research levels have been used since that time to characterize research at institutional and departmental levels. Currently, less than half of all articles published are in journals that been classified by research level. There is thus a need for the notion of research level to be extended in a way that all articles can be so classified. This article reports on a new model – trained from title and abstract words and cited references – that classifies individual articles by research level. The model covers all of science, and has been used to classify over 25 million articles from Scopus by research level. The final model and set of classified articles are further characterized. |
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| Keywords: | Research level Basic science Applied science Multinomial logistic regression model Article-level classification |
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