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Understanding multiply mentioned references

Author

Listed:
  • Hu, Zhigang
  • Lin, Gege
  • Sun, Taian
  • Hou, Haiyan

Abstract

Although listed only once at the end of a scientific article, a reference can be mentioned repeatedly within the citing article. These references are defined as multiply mentioned references (MMRs). MMRs are universal in scientific writing. Using the references in Journal of Informetrics as an example, approximately 1/4 of the references are mentioned multiple times. The aim of this research was to provide a detailed understanding of MMRs, including their abundance within the citing paper, their locations and distributions, and their citation contexts in the first and subsequent mentions. The results show that longer articles are more likely to mention references multiply, and self-citing references are more likely to be mentioned multiple times. Normally, the multiple mentions of a reference tend to be located in the same section and quite close to each other. In terms of citation context, reference re-citations usually serve as supplementary explanations of their first-time mention within the citing paper.

Suggested Citation

  • Hu, Zhigang & Lin, Gege & Sun, Taian & Hou, Haiyan, 2017. "Understanding multiply mentioned references," Journal of Informetrics, Elsevier, vol. 11(4), pages 948-958.
    • Handle: RePEc:eee:infome:v:11:y:2017:i:4:p:948-958
    DOI: 10.1016/j.joi.2017.08.004
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    Citations

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    Cited by:

    1. Dangzhi Zhao & Andreas Strotmann, 2020. "Deep and narrow impact: introducing location filtered citation counting," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 503-517, January.
    2. Liyue Chen & Jielan Ding & Vincent Larivière, 2022. "Measuring the citation context of national self‐references," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(5), pages 671-686, May.
    3. Dangzhi Zhao & Andreas Strotmann, 2020. "Telescopic and panoramic views of library and information science research 2011–2018: a comparison of four weighting schemes for author co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 255-270, July.
    4. Houcemeddine Turki & Mohamed Ali Hadj Taieb & Mohamed Ben Aouicha, 2020. "Facts to consider when analyzing the references of Nobel Prize scientific background," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 787-790, July.
    5. Jialiang Lin & Yao Yu & Jiaxin Song & Xiaodong Shi, 2022. "Detecting and analyzing missing citations to published scientific entities," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2395-2412, May.
    6. Pak, Chol Myong & Wang, Weibin & Yu, Guang, 2020. "An analysis of in-text citations based on fractional counting," Journal of Informetrics, Elsevier, vol. 14(4).
    7. Boyack, Kevin W. & van Eck, Nees Jan & Colavizza, Giovanni & Waltman, Ludo, 2018. "Characterizing in-text citations in scientific articles: A large-scale analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 59-73.
    8. Dongqing Lyu & Xuanmin Ruan & Juan Xie & Ying Cheng, 2021. "The classification of citing motivations: a meta-synthesis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3243-3264, April.
    9. Speirs, Jamie & Balcombe, Paul & Johnson, Erin & Martin, Jeanne & Brandon, Nigel & Hawkes, Adam, 2018. "A greener gas grid: What are the options," Energy Policy, Elsevier, vol. 118(C), pages 291-297.
    10. Hamid R. Jamali & Majid Nabavi & Saeid Asadi, 2018. "How video articles are cited, the case of JoVE: Journal of Visualized Experiments," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1821-1839, December.
    11. Wang, Shiyun & Mao, Jin & Lu, Kun & Cao, Yujie & Li, Gang, 2021. "Understanding interdisciplinary knowledge integration through citance analysis: A case study on eHealth," Journal of Informetrics, Elsevier, vol. 15(4).
    12. Weibin Wang & Zheng Wang & Tian Yu & CholMyong Pak & Guang Yu, 2020. "Research on citation mention times and contributions using a neural network," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2383-2400, December.
    13. Sehrish Iqbal & Saeed-Ul Hassan & Naif Radi Aljohani & Salem Alelyani & Raheel Nawaz & Lutz Bornmann, 2021. "A decade of in-text citation analysis based on natural language processing and machine learning techniques: an overview of empirical studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6551-6599, August.

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