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DOI | 10.1126/science.aao0185 |
Science of science | |
Fortunato S.; Bergstrom C.T.; Börner K.; Evans J.A.; Helbing D.; Milojević S.; Petersen A.M.; Radicchi F.; Sinatra R.; Uzzi B.; Vespignani A.; Waltman L.; Wang D.; Barabási A.-L. | |
发表日期 | 2018 |
ISSN | 0036-8075 |
卷号 | 359期号:6379 |
英文摘要 | Identifying fundamental drivers of science and developing predictive models to capture its evolution are instrumental for the design of policies that can improve the scientific enterprise-for example, through enhanced career paths for scientists, better performance evaluation for organizations hosting research, discovery of novel effective funding vehicles, and even identification of promising regions along the scientific frontier. The science of science uses large-scale data on the production of science to search for universal and domain-specific patterns. Here, we review recent developments in this transdisciplinary field. © 2018 American Association for the Advancement of Science. All rights reserved. |
英文关键词 | data set; evolution; identification method; instrumentation; numerical model; policy approach; policy development; artificial intelligence; attitude; automation; awards and prizes; awareness; career mobility; citation analysis; citation dynamics; conceptual framework; cooperation; creativity; cultural factor; decision making; evidence based decision making; evolution; feasibility study; funding; human; innovation; knowledge; machine learning; man machine interaction; medical research; medical technology; motivation; online system; organization; peer group; policy; prediction; priority journal; probability; productivity; publication; quantitative analysis; reliability; reproducibility; responsibility; Review; science; science of science; scientific literature; scientist; selection bias; social structure; socioeconomics; specialization; teamwork; trend study; review |
语种 | 英语 |
来源期刊 | Science
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/243722 |
作者单位 | Center for Complex Networks and Systems Research, School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, United States; Indiana University Network Science Institute, Indiana University, Bloomington, IN 47408, United States; Department of Biology, University of Washington, Seattle, WA 98195-1800, United States; Cyberinfrastructure for Network Science Center, School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, United States; Department of Sociology, University of Chicago, Chicago, IL 60637, United States; Computational Social Science, ETH Zurich, Zurich, Switzerland; Ernest and Julio Gallo Management Program, School of Engineering, University of California, Merced, CA 95343, United States; Center for Network Science, Central European University, Budapest, 1052, Hungary; Department of Mathematics, Central European University, Budapest, 1051, Hungary; Institute for Network Science, Northeastern University, Boston, MA 02115... |
推荐引用方式 GB/T 7714 | Fortunato S.,Bergstrom C.T.,Börner K.,et al. Science of science[J],2018,359(6379). |
APA | Fortunato S..,Bergstrom C.T..,Börner K..,Evans J.A..,Helbing D..,...&Barabási A.-L..(2018).Science of science.Science,359(6379). |
MLA | Fortunato S.,et al."Science of science".Science 359.6379(2018). |
条目包含的文件 | 条目无相关文件。 |
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