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Bibliometrics evaluation of research performance in pharmacology/pharmacy: China relative to ten representative countries

Author

Listed:
  • Zuo-Qi Ding

    (China Pharmaceutical University)

  • Jian-Ping Ge

    (Beihang University)

  • Xiao-Ming Wu

    (China Pharmaceutical University)

  • Xiao-Nan Zheng

    (China Pharmaceutical University)

Abstract

Pharmacology/pharmacy is an important scientific field and plays a pivotal role in new drug research and development. China has steadily increased investment in drug development. This study aimed to evaluate the productivity of China in the field pharmacology/pharmacy in the past decade in relation to ten representative countries. The publications in the field pharmacology/pharmacy of China and ten representative countries in the past decade (2001–2010) were retrieved from Web of Science database, and studies were conducted on the immediacy index of articles published in 2011. Multiple bibliometric indicators were obtained from the “InCites” analysis. Most of the bibliometric indicators for the developed countries including the USA and the European countries remained stable in the past decade. The number of publications by the Asian countries, especially China, increased dramatically in the past decade year by year; however, the Asian countries improved little in the indicators assessing the scientific quality of publications including the citation behaviors and the impact relative to either country and subject area. It may need a long time to fill in the gap, in terms of the scientific quality, between the developing countries and the developed countries. In view of the dramatic increase in the financial investment, our findings suggest that the development of the field pharmacology/pharmacy worldwide is not optimistic, which may partially explain the decreased R&D productivity of pharmaceutical industry since the last decade.

Suggested Citation

  • Zuo-Qi Ding & Jian-Ping Ge & Xiao-Ming Wu & Xiao-Nan Zheng, 2013. "Bibliometrics evaluation of research performance in pharmacology/pharmacy: China relative to ten representative countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 829-844, September.
  • Handle: RePEc:spr:scient:v:96:y:2013:i:3:d:10.1007_s11192-013-0968-x
    DOI: 10.1007/s11192-013-0968-x
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    1. Alexander N. Larcombe & Sasha C. Voss, 2011. "Self-citation: comparison between Radiology, European Radiology and Radiology for 1997–1998," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 347-356, May.
    2. Fabio Pammolli & Massimo Riccaboni & Laura Magazzini, 2010. "The productivity crisis in pharmaceutical R&D," Working Papers 06/2010, University of Verona, Department of Economics.
    3. Aksnes, Dag W. & Rip, Arie, 2009. "Researchers' perceptions of citations," Research Policy, Elsevier, vol. 38(6), pages 895-905, July.
    4. Radicchi, Filippo & Castellano, Claudio, 2012. "Testing the fairness of citation indicators for comparison across scientific domains: The case of fractional citation counts," Journal of Informetrics, Elsevier, vol. 6(1), pages 121-130.
    5. Vieira, E.S. & Gomes, J.A.N.F., 2010. "Citations to scientific articles: Its distribution and dependence on the article features," Journal of Informetrics, Elsevier, vol. 4(1), pages 1-13.
    6. Juan Miguel Campanario & Antonio Molina, 2009. "Surviving bad times: The role of citations, self-citations and numbers of citable items in recovery of the journal impact factor after at least four years of continuous decreases," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 859-864, December.
    7. Jun-Ying Fu & Xu Zhang & Yun-Hua Zhao & He-Feng Tong & Dar-Zen Chen & Mu-Hsuan Huang, 2012. "Scientific production and citation impact: a bibliometric analysis in acupuncture over three decades," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 1061-1079, December.
    8. D. Gnana Bharathi, 2011. "Methodology for the evaluation of scientific journals: Aggregated Citations of Cited Articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(3), pages 563-574, March.
    9. Henk F. Moed, 2002. "Measuring China"s research performance using the Science Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(3), pages 281-296, March.
    10. 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.
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