![]() ![]() Science maps can be used to gain overviews of “all-of-science” or of a specific subdiscipline. These maps are generated through a scientific analysis of large-scale scholarly datasets in an effort to extract, connect, and make sense of the bits and pieces of knowledge they contain. Science maps of abstract semantic spaces aim to serve today’s explorers navigating the world of knowledge. In addition to supporting navigation, these maps are used to record national boundaries or mineral resources, to show flows of trade activity, or to communicate areas of political unrest. This does not alter the authors’ adherence to all the PLoS ONE policies on sharing data and materials.Ĭartographic maps of physical places have guided humankind’s explorations for centuries. Several authors are employed by a commercial company, SciTech Strategies, Inc. Börner is a PLoS ONE Editorial Board member. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Ĭompeting interests: K. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. McDonnell Foundation, the National Science Foundation under award SBE-0738111, and the National Institutes of Health under awards U24RR029822 and U01GM098959. ![]() This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.įunding: The generation of the 2010 UCSD map of science and classification system is funded in part by the James S. Received: FebruAccepted: Published: July 12, 2012Ĭopyright: © 2012 Börner et al. Smalheiser, University of Illinois-Chicago, United States of America (2012) Design and Update of a Classification System: The UCSD Map of Science. When evaluating the map with a listing of desirable features for maps of science, the updated map is shown to have higher mapping accuracy, easier understandability as fewer journals are multiply classified, and higher usability for the generation of data overlays, among others.Ĭitation: Börner K, Klavans R, Patek M, Zoss AM, Biberstine JR, Light RP, et al. A comparison of the original 5-year and the new 10-year maps and classification system show (i) an increase in the total number of journals that can be mapped by 9,409 journals (social sciences had a 80% increase, humanities a 119% increase, medical (32%) and natural science (74%)), (ii) a simplification of the map by assigning all but five highly interdisciplinary journals to exactly one discipline, (iii) a more even distribution of journals over the 554 subdisciplines and 13 disciplines when calculating the coefficient of variation, and (iv) a better reflection of journal clusters when compared with paper-level citation data. To our knowledge, this is the first time that a widely used map of science was updated. The updated map and classification adds six years (2005–2010) of WoS data and three years (2006–2008) from Scopus to the existing category structure–increasing the number of source titles to about 25,000. The original classification and map use 7.2 million papers and their references from Elsevier’s Scopus (about 15,000 source titles, 2001–2005) and Thomson Reuters’ Web of Science (WoS) Science, Social Science, Arts & Humanities Citation Indexes (about 9,000 source titles, 2001–2004)–about 16,000 unique source titles. This paper details data preparation, analysis, and layout performed when designing and subsequently updating the UCSD map of science and classification system. Global maps of science can be used as a reference system to chart career trajectories, the location of emerging research frontiers, or the expertise profiles of institutes or nations. ![]()
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