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Comparison and evaluation of Chinese research performance in the field of bioinformatics

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  • Jiancheng Guan

    (Fudan University
    Beijing University of Aeronautics and Astronautics)

  • Xia Gao

    (Fudan University
    Beijing University of Aeronautics and Astronautics)

Abstract

Bioinformatics is an emerging and rapidly evolving discipline. The bioinformatics literature is growing exponentially. This paper aims to provide an integrated bibliometric study of the knowledge base of Chinese research community, based on the bibliometric information in the field of bioinformatics from SCI-Expanded database during the period of 2000–2005. It is found that China is productive in bioinformatics as far as publication activity in international journals is concerned. For comparative purpose, the results are benchmarked against the findings from five other major nations in the field of bioinformatics: USA, UK, Germany, Japan and India. In terms of collaboration profile, the findings imply that the collaborative scope of China has gradually transcended boundaries of organizations, regions and nations as well. Finally, further analyses on the citation share and some surrogate scientometric indicators show that the publications of Chinese authors suffer from a lowest international visibility among the six countries. Strikingly, Japan has achieved most remarkable impact of publication when compared to research effort devoted to bioinformatics amongst the six countries. The policy implication of the findings lies in that Chinese scientific community needs much work on improving the research impact and pays more attention to strengthening the academic linkages between China and worldwide nations, particularly scientifically advanced countries.

Suggested Citation

  • Jiancheng Guan & Xia Gao, 2008. "Comparison and evaluation of Chinese research performance in the field of bioinformatics," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(2), pages 357-379, May.
    • Handle: RePEc:spr:scient:v:75:y:2008:i:2:d:10.1007_s11192-007-1871-0
    DOI: 10.1007/s11192-007-1871-0
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    2. Wang, L., 2014. "The structure and comparative advantages of China's scientific research: Quantitative and qualitative perspectives," MERIT Working Papers 2014-028, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Aparisi Torrijo, Sofia & Ribes Giner, Gabriela, 2022. "Entrepreneurial leadership factors: a bibliometric analysis for the 2000-2020 period," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
    4. Ai-Yuan Liu & Shi-Ying Li & Yu-Qing Guo, 2014. "Characteristics of research on bioinformatics in China assessed with Science Citation Index Expanded," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 371-391, May.
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    6. Alfaro García, Víctor G. & Blanco Mesa, Fabio & León Castro, Ernesto, 2022. "Entrepreneurial intention a bibliometric approach," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
    7. Wong, Chan-Yuan & Wang, Lili, 2015. "Trajectories of science and technology and their co-evolution in BRICS: Insights from publication and patent analysis," Journal of Informetrics, Elsevier, vol. 9(1), pages 90-101.
    8. Sofia Aparisi-Torrijo & Gabriela Ribes-Giner, 2022. "Female entrepreneurial leadership factors," International Entrepreneurship and Management Journal, Springer, vol. 18(4), pages 1707-1737, December.
    9. Giovanni Abramo & Ciriaco Andrea D’Angelo & Fulvio Viel, 2013. "The suitability of h and g indexes for measuring the research performance of institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 555-570, December.
    10. Jiang, Hanchen & Qiang, Maoshan & Fan, Qixiang & Zhang, Mengqing, 2018. "Scientific research driven by large-scale infrastructure projects: A case study of the Three Gorges Project in China," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 61-71.
    11. Jiancheng Guan & He Wei, 2015. "A bilateral comparison of research performance at an institutional level," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 147-173, July.
    12. 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.
    13. Juana Paul Moiwo & Fulu Tao, 2013. "The changing dynamics in citation index publication position China in a race with the USA for global leadership," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 1031-1050, June.
    14. Hui-Zhen Fu & Kun-Yang Chuang & Ming-Huang Wang & Yuh-Shan Ho, 2011. "Characteristics of research in China assessed with Essential Science Indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 841-862, September.
    15. Zhigang Hu & Fangqi Guo & Haiyan Hou, 2017. "Mapping research spotlights for different regions in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 779-790, February.
    16. Martin Barth & Stefanie Haustein & Barbara Scheidt, 2014. "The life sciences in German–Chinese cooperation: an institutional-level co-publication analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 99-117, January.
    17. Maziar Montazerian & Edgar Dutra Zanotto & Hellmut Eckert, 2019. "A new parameter for (normalized) evaluation of H-index: countries as a case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1065-1078, March.
    18. Alonso, S. & Cabrerizo, F.J. & Herrera-Viedma, E. & Herrera, F., 2009. "h-Index: A review focused in its variants, computation and standardization for different scientific fields," Journal of Informetrics, Elsevier, vol. 3(4), pages 273-289.

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