Social media-based sleeping beauties: Defining,identifying and features |
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| Institution: | 1. Sun Yat-sen University, Guangzhou University, Huandong Road, No. 132 Waihuan East Rd., Guangzhou University City, Guangzhou, 510006, China;2. School of Economics and Management, Dalian University, Dalian 116622 Dalian Economic Technological Development Zone, Dalian 116622, China;1. College of Liberal Arts and Sciences, National University of Defense Technology, Changsha, China;2. Department of Mathematics, University of California, Los Angeles, USA;1. National Research University Higher School of Economics, Myasnitskaya, 20, 101000 Moscow, Russia;2. Institute of Mathematics, Physics and Mechanics, Jadranska 19, 1000 Ljubljana, Slovenia;3. University of Primorska, Andrej Maru?i? Institute, 6000 Koper, Slovenia;1. School of Information Management, Nanjing University, Nanjing 210023, China;2. School of Information Studies, Syracuse University, Syracuse, NY 13244, USA;1. National Research Council Canada, Ottawa, Ontario K1K 2E1 Canada;2. Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montréal, Québec H3G 2W1 Canada;1. Laboratory for Studies in Research Evaluation, Institute for System Analysis and Computer Science (IASI-CNR), National Research Council, Rome, Italy;2. Nordic Institute for Studies in Innovation, Research and Education, Oslo, Norway;3. University of Rome “Tor Vergata”, Dept of Engineering and Management, Rome, Italy;1. A P J Abdul Kalam Technological University, Thiruvananthapuram, Kerala, 695016, India;2. CSIR Central Mechanical Engineering Research Institute, Durgapur, Bengal, 713209, India;3. Amsterdam School of Communication Research (ASCoR), University of Amsterdam, PO Box 15793, 1001 NG Amsterdam, the Netherlands |
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| Abstract: | The sleeping beauties in science signify a unique knowledge diffusion trajectory created by citation after the publication of scientific literature. However, in social media, scientific knowledge creates a new diffusion trajectory through social media metrics such as View, Save, Discussed, and Recommendations. This study aims to define social media–based sleeping beauties S-SB in science by using social media metrics which we termed as citation-based Sleeping Beauties in science, C-SB. We constructed a quantitative method to identify S-SB and conducted an empirical study of all types of 4019 articles published in PLOS Biology. Comparison of the S-SB and C-SB results revealed that from the perspective of social media metrics, C-SB has become the literature of S-total elements early gradual awakening type, S-total elements delay gradual awakening type, and S-early sudden awakening type. Moreover, the awakening time of C-SB literature under the action of social media metrics was found to be 4–5 years earlier than that under the action of citation-based indicators. Both C-SB and S-SB included significant “Editorial Material,” establishing that “Editorial Material” type literature is noteworthy while promoting the diffusion of scientific knowledge. Overall, this study extends the perspective of sleeping beauties in science. |
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| Keywords: | Social media–based sleeping beauties Citation-based sleeping beauties Identification Awakening mode |
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