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The adequacy of the science citation index (SCI) as an indicator of international scientific activity

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  • Mark P. Carpenter
  • Francis Narin

Abstract

The adequacy of the Science Citation Index (SCI) as a data source for developing indicators of international scientific activity was tested by comparing country‐by‐country journal counts based on the SCI with British Library Lending Division country‐by‐country journal counts, and with country‐by‐country counts of papers in other abstracting services, and by looking at the patterns of references from key journals. While the SCI appears to be an excellent, internationally balanced data source for the core of the physical and biological sciences, particularly for the English‐speaking countries, there still are significant differences between the SCI and other sources in national coverage of fields with a more dispersed literature, especially in the case of journals from countries with non‐Roman alphabets. In particular, SCI coverage of the Soviet literature appears incomplete, especially in the biological and medical sciences.

Suggested Citation

  • Mark P. Carpenter & Francis Narin, 1981. "The adequacy of the science citation index (SCI) as an indicator of international scientific activity," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 32(6), pages 430-439, November.
    • Handle: RePEc:bla:jamest:v:32:y:1981:i:6:p:430-439
    DOI: 10.1002/asi.4630320606
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    Cited by:

    1. Nisar Ali & Zahid Halim & Syed Fawad Hussain, 2023. "An artificial intelligence-based framework for data-driven categorization of computer scientists: a case study of world’s Top 10 computing departments," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1513-1545, March.
    2. Rafael Aleixandre-Benavent & Juan Carlos Valderrama Zurián & Alberto Miguel-Dasit & Adolfo Alonso Arroyo & Miguel Castellano Gómez, 2007. "Hypothetical influence of non-indexed Spanish medical journals on the impact factor of the Journal Citation Reports-indexed journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(1), pages 53-66, January.
    3. Farid Shirazi & Nick Hajli, 2021. "IT-Enabled Sustainable Innovation and the Global Digital Divides," Sustainability, MDPI, vol. 13(17), pages 1-24, August.
    4. Rafael Aleixandre & Juan Carlos Valderrama & José María Desantes & Antonio J. Torregrosa, 2004. "Identification of information sources and citation patterns in the field of reciprocating internal combustion engines," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(3), pages 321-336, March.
    5. Jiancheng Guan & Nan Ma, 2004. "A comparative study of research performance in computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(3), pages 339-359, November.
    6. Anastassios Pouris, 2009. "Fluorine research in South Africa and four benchmarking countries: Comparative mapping and assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 131-143, January.
    7. Maxim Kotsemir, 2012. "Dynamics of Russian and World Science through the Prism of International Publications," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 6(1), pages 38-58.
    8. William W. Hood & Concepción S. Wilson, 2003. "Informetric studies using databases: Opportunities and challenges," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(3), pages 587-608, November.
    9. M. Luwel, 1999. "Is the science citation index US-biased?," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(3), pages 549-562, November.
    10. T. J. Phelan, 1999. "A compendium of issues for citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 45(1), pages 117-136, May.
    11. repec:hig:journl:v:6:y:2012:i:1:p:38-58 is not listed on IDEAS
    12. Binglu Wang & Yi Bu & Yang Xu, 2018. "A quantitative exploration on reasons for citing articles from the perspective of cited authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 675-687, August.
    13. Robert Dalpé, 2002. "Bibliometric analysis of biotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(2), pages 189-213, August.
    14. Marta Riba Vilanova & Loet Leydesdorff, 2001. "Why Catalonia cannot be considered as a regional innovation system," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(2), pages 215-240, February.
    15. Chung-Souk Han & Su Kyung Lee & Mark England, 2010. "Transition to postmodern science—related scientometric data," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 391-401, August.

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