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Scientific linkage of science research and technology development: a case of genetic engineering research

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  • Szu-chia S. Lo

    (National Chung Hsing University)

Abstract

In this study, the author tried to demonstrate the linkage between science research and technology development through non-patent citation analysis to reveal that the important knowledge resources from science research had significant impact on technology development. Genetic engineering technology was the field examined in this study. From the references listed in the patents, it was observed that the technology development in genetic engineering was influenced heavily by the research done by public sector. Over 90% of the citations were non-patent literatures, and the majority of non-patent citations were journal articles. Citing preferences, such as country preference and institute preference were observed from the data included in this study.

Suggested Citation

  • Szu-chia S. Lo, 2010. "Scientific linkage of science research and technology development: a case of genetic engineering research," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(1), pages 109-120, January.
    • Handle: RePEc:spr:scient:v:82:y:2010:i:1:d:10.1007_s11192-009-0036-8
    DOI: 10.1007/s11192-009-0036-8
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    References listed on IDEAS

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    Cited by:

    1. Mu-Hsuan Huang & Ssu-Han Chen & Chia-Ying Lin & Dar-Zen Chen, 2014. "Exploring temporal relationships between scientific and technical fronts: a case of biotechnology field," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1085-1100, February.
    2. Julie Callaert & Joris Grouwels & Bart Looy, 2012. "Delineating the scientific footprint in technology: Identifying scientific publications within non-patent references," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 383-398, May.
    3. Huang, Mu-Hsuan & Yang, Hsiao-Wen & Chen, Dar-Zen, 2015. "Increasing science and technology linkage in fuel cells: A cross citation analysis of papers and patents," Journal of Informetrics, Elsevier, vol. 9(2), pages 237-249.
    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. Sung, Hui-Yun & Wang, Chun-Chieh & Huang, Mu-Hsuan & Chen, Dar-Zen, 2015. "Measuring science-based science linkage and non-science-based linkage of patents through non-patent references," Journal of Informetrics, Elsevier, vol. 9(3), pages 488-498.
    6. Lihua Zhai & Yuntao Pan & Yu Guo & Zheng Ma & Fei Bi, 2014. "International comparative study on nanofiltration membrane technology based on relevant publications and patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1361-1374, November.
    7. Guijie Zhang & Yuqiang Feng & Guang Yu & Luning Liu & Yanqiqi Hao, 2017. "Analyzing the time delay between scientific research and technology patents based on the citation distribution model," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1287-1306, June.
    8. Amalia Mas-Bleda & Mike Thelwall, 2016. "Can alternative indicators overcome language biases in citation counts? A comparison of Spanish and UK research," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2007-2030, December.
    9. Naomi Fukuzawa & Takanori Ida, 2014. "Science linkages focused on star scientists in the life and medical sciences: The case of Japan," Discussion papers e-14-006, Graduate School of Economics Project Center, Kyoto University.
    10. Huang, Mu-Hsuan & Huang, Wei-Tzu & Chen, Dar-Zen, 2014. "Technological impact factor: An indicator to measure the impact of academic publications on practical innovation," Journal of Informetrics, Elsevier, vol. 8(1), pages 241-251.
    11. Chen, Lixin, 2017. "Do patent citations indicate knowledge linkage? The evidence from text similarities between patents and their citations," Journal of Informetrics, Elsevier, vol. 11(1), pages 63-79.
    12. Mingting Kou & Yi Zhang & Yu Zhang & Kaihua Chen & Jiancheng Guan & Senmao Xia, 2020. "Does gender structure influence R&D efficiency? A regional perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 477-501, January.
    13. Chihmao Hsieh, 2011. "Explicitly searching for useful inventions: dynamic relatedness and the costs of connecting versus synthesizing," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 381-404, February.
    14. Wang, Jean J. & Ye, Fred Y., 2021. "Probing into the interactions between papers and patents of new CRISPR/CAS9 technology: A citation comparison," Journal of Informetrics, Elsevier, vol. 15(4).

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