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Characteristics and impact of grant-funded research: a case study of the library and information science field


  • Dangzhi Zhao

    () (University of Alberta)


This paper reports on a bibliometric study of the characteristics and impact of research in the library and information science (LIS) field which was funded through research grant programs, and compares it with research that received no extra funding. Seven core LIS journals were examined to identify articles published in 1998 that acknowledge research grant funding. The distribution of these articles by various criteria (e.g., topic, affiliation, funding agency) was determined. Their impact as indicated by citation counts during 1998–2008 was evaluated against that of articles without acknowledging extra funding and published in the same journals in the same year using citation data collected from Scopus’ Citation Tracker. The impact of grant-funded research as measured by citation counts was substantially higher than that of other research, both overall and in each journal individually. Scholars from outside LIS core institutions contributed heavily to grant-funded research. The two highest-impact publications by far reported non-grant-based research, and grant-based funding of research reported in core LIS journals was biased towards the information retrieval (IR) area, particularly towards research on IR systems. The percentage of articles reporting grant-funded research was substantially higher in information-oriented journals than in library-focused ones.

Suggested Citation

  • Dangzhi Zhao, 2010. "Characteristics and impact of grant-funded research: a case study of the library and information science field," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 293-306, August.
  • Handle: RePEc:spr:scient:v:84:y:2010:i:2:d:10.1007_s11192-010-0191-y
    DOI: 10.1007/s11192-010-0191-y

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    References listed on IDEAS

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    Cited by:

    1. Pu Han & Jin Shi & Xiaoyan Li & Dongbo Wang & Si Shen & Xinning Su, 2014. "International collaboration in LIS: global trends and networks at the country and institution level," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 53-72, January.
    2. Belén Álvarez-Bornstein & Adrián A. Díaz-Faes & María Bordons, 2019. "What characterises funded biomedical research? Evidence from a basic and a clinical domain," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 805-825, May.
    3. Fengqing Zhang & Erjia Yan & Xin Niu & Yongjun Zhu, 2018. "Joint modeling of the association between NIH funding and its three primary outcomes: patents, publications, and citation impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 591-602, October.
    4. Chris W. Belter, 2013. "A bibliometric analysis of NOAA’s Office of Ocean Exploration and Research," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 629-644, May.
    5. Erjia Yan & Chaojiang Wu & Min Song, 2018. "The funding factor: a cross-disciplinary examination of the association between research funding and citation impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 369-384, April.
    6. Rongying Zhao & Xinlai Li & Zhisen Liang & Danyang Li, 2019. "Development strategy and collaboration preference in S&T of enterprises based on funded papers: a case study of Google," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 323-347, October.
    7. Mu-Hsuan Huang & Mei-Jhen Huang, 2018. "An analysis of global research funding from subject field and funding agencies perspectives in the G9 countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 833-847, May.
    8. Huang, Ding-wei, 2018. "Optimal distribution of science funding," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 613-618.
    9. Cristian Mejia & Yuya Kajikawa, 2018. "Using acknowledgement data to characterize funding organizations by the types of research sponsored: the case of robotics research," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 883-904, March.
    10. Gianluca Fabiano & Andrea Marcellusi & Giampiero Favato, 2020. "Public–private contribution to biopharmaceutical discoveries: a bibliometric analysis of biomedical research in UK," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 153-168, July.
    11. Ji-ping Gao & Cheng Su & Hai-yan Wang & Li-hua Zhai & Yun-tao Pan, 2019. "Research fund evaluation based on academic publication output analysis: the case of Chinese research fund evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 959-972, May.
    12. Manika Lamba & Margam Madhusudhan, 2019. "Mapping of topics in DESIDOC Journal of Library and Information Technology, India: a study," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 477-505, August.
    13. Belén Álvarez-Bornstein & Fernanda Morillo & María Bordons, 2017. "Funding acknowledgments in the Web of Science: completeness and accuracy of collected data," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1793-1812, September.
    14. Fernanda Morillo, 2019. "Collaboration and impact of research in different disciplines with international funding (from the EU and other foreign sources)," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 807-823, August.


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