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Patent coupling analysis of primary organizations in genetic engineering research

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  • Szu-Chia Lo

    (National Chung Hsing University)

Abstract

The aim of this study is to reveal the possible linkage among the 40 primary organizations in Genetic Engineering Research by taking the Patent Coupling approach. The primary organizations were defined by the productivity and identified by the patent count and Bradford Law. The author analyzed the cited patents of the patents granted by United States Patent and Trademark Office (USPTO) from 1991 to 2002 to the 40 primary organizations (assignees) in Genetics Engineering Research to establish the correlation. 780 coupling pairs formed by the 40 primary organizations and Coupling Index and Coupling Strength were calculated for each pair and primary organization. Correlation Analysis and Multiple-Dimension Scaling were applied further based on Coupling Index. Technological clusters were found in the results of the analyses.

Suggested Citation

  • Szu-Chia Lo, 2008. "Patent coupling analysis of primary organizations in genetic engineering research," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(1), pages 143-151, January.
    • Handle: RePEc:spr:scient:v:74:y:2008:i:1:d:10.1007_s11192-008-0110-7
    DOI: 10.1007/s11192-008-0110-7
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    References listed on IDEAS

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    Cited by:

    1. Ming-Chao Huang & Shih-Chieh Fang & Shao-Chi Chang, 2011. "Tracking R&D behavior: bibliometric analysis of drug patents in the Orange Book," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 805-818, September.
    2. Jun Peng Yuan & Wei Ping Yue & Cheng Su & Zheng Wu & Zheng Ma & Yun Tao Pan & Nan Ma & Zhi Yu Hu & Fei Shi & Zheng Lu Yu & Yi Shan Wu, 2010. "Patent activity on water pollution and treatment in China—a scientometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 639-651, June.
    3. Scott D. Bass & Lukasz A. Kurgan, 2010. "Discovery of factors influencing patent value based on machine learning in patents in the field of nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 217-241, February.
    4. Xianwen Wang & Xi Zhang & Shenmeng Xu, 2011. "Patent co-citation networks of Fortune 500 companies," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 761-770, September.

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