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A comparison between the China Scientific and Technical Papers and Citations Database and the Science Citation Index in terms of journal hierarchies and interjournal citation relations

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  • Ping Zhou
  • Loet Leydesdorff

Abstract

The journal structure in the China Scientific and Technical Papers and Citations Database (CSTPCD) is analyzed from three perspectives: the database level, the specialty level, and the institutional level (i.e., university journals vs. journals issued by the Chinese Academy of Sciences). The results are compared with those for (Chinese) journals included in the Science Citation Index (SCI). The frequency of journal–journal citation relations in the CSTPCD is an order of magnitude lower than in the SCI. Chinese journals, especially high‐quality journals, prefer to cite international journals rather than domestic ones; however, Chinese journals do not get an equivalent reception from their international counterparts. The international visibility of Chinese journals is low, but varies among fields of science. Journals of the Chinese Academy of Sciences have a better reception in the international scientific community than university journals.

Suggested Citation

  • Ping Zhou & Loet Leydesdorff, 2007. "A comparison between the China Scientific and Technical Papers and Citations Database and the Science Citation Index in terms of journal hierarchies and interjournal citation relations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(2), pages 223-236, January.
    • Handle: RePEc:bla:jamist:v:58:y:2007:i:2:p:223-236
    DOI: 10.1002/asi.20475
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    Cited by:

    1. Bingqin Xu & David A. J. Teulon, 2022. "Combined Searches of Chinese Language and English Language Databases Provide More Comprehensive Data on the Distribution of Five Pest Thrips Species in China for Use in Pest Risk Assessment," Sustainability, MDPI, vol. 14(5), pages 1-19, March.
    2. Saeed-Ul Hassan & Peter Haddawy, 2013. "Measuring international knowledge flows and scholarly impact of scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 163-179, January.
    3. Guijie Zhang & Luning Liu & Fangfang Wei, 2019. "Key nodes mining in the inventor–author knowledge diffusion network," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 721-735, March.
    4. Han Woo Park & Loet Leydesdorff, 2008. "Korean journals in the Science Citation Index: What do they reveal about the intellectual structure of S&T in Korea?," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 439-462, June.
    5. Fei Shu & Wen Lou & Stefanie Haustein, 2018. "Can Twitter increase the visibility of Chinese publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 505-519, July.
    6. Tianwei He & Wei Liu, 2009. "The internationalization of Chinese scientific journals: A quantitative comparison of three chemical journals from China, England and Japan," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 583-593, September.
    7. S. Hennemann & T. Wang & I. Liefner, 2011. "Measuring regional science networks in China: a comparison of international and domestic bibliographic data sources," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 535-554, August.
    8. Saeed-Ul Hassan & Peter Haddawy, 2015. "Analyzing knowledge flows of scientific literature through semantic links: a case study in the field of energy," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 33-46, April.
    9. Loet Leydesdorff & Caroline Wagner, 2009. "Is the United States losing ground in science? A global perspective on the world science system," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 23-36, January.
    10. Gregory J Hather & Winston Haynes & Roger Higdon & Natali Kolker & Elizabeth A Stewart & Peter Arzberger & Patrick Chain & Dawn Field & B Robert Franza & Biaoyang Lin & Folker Meyer & Vural Ozdemir & , 2010. "The United States of America and Scientific Research," PLOS ONE, Public Library of Science, vol. 5(8), pages 1-9, August.
    11. Ping Zhou & Loet Leydesdorff, 2007. "The citation impacts and citation environments of Chinese journals in mathematics," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(2), pages 185-200, August.
    12. N. Kurakova & L. Tsvetkova & O. Eremchenko., 2013. "Scientometric Parameters of Russian Economic Science: General State and the Evaluation of Thesis Boards," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 11.

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