Web of Science as a data source for research on scientific and scholarly activity

Web of Science (WoS) is the world’s oldest, most widely used and authoritative database of research publications and citations. Based on the Science Citation Index, founded by Eugene Garfield in 1964, it has expanded its selective, balanced, and complete coverage of the world’s leading research to cover around 34,000 journals today. A wide range of use cases are supported by WoS from daily search and discovery by researchers worldwide through to the supply of analytical data sets and the provision of specialized access to raw data for bibliometric partners. A long- and well-established network of such partners enables the Institute for Scientific Information (ISI) to continue to work closely with bibliometric groups around the world to the benefit of both the community and the services that the company provides to researchers and analysts.

[1]  Ludo Waltman,et al.  Large-scale comparison of bibliographic data sources: Web of Science, Scopus, Dimensions, and Crossref , 2019, ISSI.

[2]  Jonathan Adams,et al.  Information and misinformation in bibliometric time-trend analysis , 2018, J. Informetrics.

[3]  E. Garfield.  Citation analysis as a tool in journal evaluation. , 1972, Science.

[4]  B. C. Griffith,et al.  The Structure of Scientific Literatures I: Identifying and Graphing Specialties , 1974 .

[5]  Joshua D. Schnell.  Web of Science: The First Citation Index for Data Analytics and Scientometrics , 2017 .

[6]  A. Schubert,et al.  Scientometric Indicators: A 32-Century Comparative Evaluation of Publishing Performance and Citation Impact , 1985 .

[7]  Kai Li,et al.  Are NIH-funded publications fulfilling the proposed research? An examination of concept-matchedness between NIH research grants and their supported publications , 2019, J. Informetrics.

[8]  Jonathan Adams,et al.  Profiling citation impact: A new methodology , 2007, Scientometrics.

[9]  J. R. Cole,et al.  Scientific output and recognition: a study in the operation of the reward system in science. , 1967, American sociological review.

[10]  P. Greenwood,et al.  Evolutionary aspects of environmental sex determination , 1987 .

[11]  Bonnie Lawlor.  The Institute for Scientific Information: A Brief History , 2014 .

[12]  Daniel M. Romero,et al.  The nearly universal link between the age of past knowledge and tomorrow’s breakthroughs in science and technology: The hotspot , 2017, Science Advances.

[13]  Alan L. Porter,et al.  Early insights on the Emerging Sources Citation Index (ESCI): an overlay map-based bibliometric study , 2017, Scientometrics.

[14]  S. Bradford.  "Sources of information on specific subjects" by S.C. Bradford , 1985 .

[15]  Caroline S. Wagner,et al.  International research collaboration: Novelty, conventionality, and atypicality in knowledge recombination , 2018, Research Policy.

[16]  D J PRICE,et al.  NETWORKS OF SCIENTIFIC PAPERS. , 1965, Science.

[17]  Alan L. Porter,et al.  Contest: Measuring Tech Emergence , 2018 .

[18]  E Garfield,et al.  "Science Citation Index"--A New Dimension in Indexing. , 1964, Science.

[19]  Lutz Bornmann,et al.  R package for producing beamplots as a preferred alternative to the h index when assessing single researchers (based on downloads from Web of Science) , 2019, Scientometrics.

[20]  Loet Leydesdorff,et al.  The integrated impact indicator revisited (I3*): a non-parametric alternative to the journal impact factor , 2018, Scientometrics.

[21]  Reinhilde Veugelers,et al.  Scientific novelty and technological impact , 2019, Research Policy.

[22]  Kai Li,et al.  Web of Science use in published research and review papers 1997–2017: a selective, dynamic, cross-domain, content-based analysis , 2017, Scientometrics.

[23]  Joshua L. Rosenbloom,et al.  The Effects of Research & Development Funding on Scientific Productivity: Academic Chemistry, 1990-2009 , 2014, PloS one.

[24]  Alexander M. Petersen,et al.  Inequality and cumulative advantage in science careers: a case study of high-impact journals , 2014, EPJ Data Science.

[25]  Marta Somoza-Fernández,et al.  Journal coverage of the Emerging Sources Citation Index , 2018, Learn. Publ..

[26]  Henry G. Small,et al.  Co-citation in the scientific literature: A new measure of the relationship between two documents , 1973, J. Am. Soc. Inf. Sci..

[27]  Harriet Zuckerman,et al.  The Sociology of Science and the Garfield Effect: Happy Accidents, Unanticipated Developments and Unexploited Potentials , 2018, Front. Res. Metr. Anal..

[28]  Vincent Larivière,et al.  The many faces of mobility: Using bibliometric data to measure the movement of scientists , 2018, J. Informetrics.

[29]  H. Moed,et al.  The use of bibliometric data for the measurement of university research performance , 1985 .

[30]  B. C. Griffith,et al.  The Structure of Scientific Literatures II: Toward a Macro- and Microstructure for Science , 1974 .

[31]  S. Lazerow.  The Institute of Scientific Information , 1961, Nature.