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An attempt to identify technologically relevant papers based on their references

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  • Yasuhiro Yamashita

    (Japan Science and Technology Agency)

Abstract

In this study, two indicators derived from references in papers were proposed to characterize the papers regarding technological relevance: (1) the number of reference papers that obtained citations from patents by the time of observation, i.e., the publication years of papers to be assessed (NR-PCP), and (2) the number of reference papers authored by the firms’ researchers (NR-FP). Next, the two indicators were applied to papers published in 2001 to assess their performance. The results obtained by the two indicators were evaluated by citations from patents until 2016 in various conditions: scientific field, institutional sector, and period of measurement. Results showed a robustness of both indicators in many conditions. NR-PCP showed better results in most cases than NR-FP, although its recall was inferior to NR-FP for papers in which all references were newer than 1996. Based on the result that NR-PCP was preferred as an indicator, the rationale of using reference papers cited in the patent by the period of observation (R-PCP) as an indicator was considered based on the papers’ potential distances from the border between science and technology, which was obtained from an extended version of the citation network originally proposed by Ahmadpoor and Jones (Science 357:583–587, 2017. https://doi.org/10.1126/science.aam9527 ). Finally, issues to be addressed were discussed.

Suggested Citation

  • Yasuhiro Yamashita, 2020. "An attempt to identify technologically relevant papers based on their references," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1783-1800, November.
  • Handle: RePEc:spr:scient:v:125:y:2020:i:2:d:10.1007_s11192-020-03673-5
    DOI: 10.1007/s11192-020-03673-5
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    References listed on IDEAS

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    1. Hu, Xiaojun & Rousseau, Ronald, 2018. "A new approach to explore the knowledge transition path in the evolution of science & technology: From the biology of restriction enzymes to their application in biotechnology," Journal of Informetrics, Elsevier, vol. 12(3), pages 842-857.
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    4. Naomi Fukuzawa & Takanori Ida, 2016. "Science linkages between scientific articles and patents for leading scientists in the life and medical sciences field: the case of Japan," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 629-644, February.
    5. Matt Marx & Aaron Fuegi, 2020. "Reliance on science: Worldwide front‐page patent citations to scientific articles," Strategic Management Journal, Wiley Blackwell, vol. 41(9), pages 1572-1594, September.
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