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Factors to evaluate a patent in addition to citations

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  • Shyh-Jen Wang

    (Taipei Veterans General Hospital
    National Yang-Ming University
    National Taiwan University of Science and Technology)

Abstract

The emergence of patent citations as a tool for patent estimation has been subjected to equally vocal champions and critics. In additional to patent citation, this article aims to contribute other factors, including court decisions, claim language, extension cases, patent family and portfolio, which should be deliberated during patent evaluation. It introduces the subject-matter by discussing the specialties and peculiarities of these proposed factors. Furthermore, comparisons between the patent citations and these factors are presented by illustrating several well-known patents. The results of the comparisons reveal that an adverse conclusion might be drawn if a patent is estimated only based on citations. The conclusion supports Meyer’s study that “the general nature of a common framework for both scientific and patent citations would severely limit its usefulness.” Therefore, those factors discussed in the article would be a great asset in patent evaluation. However, it only illustrates their impact on patent estimation using a couple well-known patents. Future research would be needed to investigate these factors in a more detailed manner.

Suggested Citation

  • Shyh-Jen Wang, 2007. "Factors to evaluate a patent in addition to citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(3), pages 509-522, June.
    • Handle: RePEc:spr:scient:v:71:y:2007:i:3:d:10.1007_s11192-007-1698-8
    DOI: 10.1007/s11192-007-1698-8
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    References listed on IDEAS

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    1. Meyer, Martin, 2000. "Does science push technology? Patents citing scientific literature," Research Policy, Elsevier, vol. 29(3), pages 409-434, March.
    2. Bronwyn H. Hall & Adam Jaffe & Manuel Trajtenberg, 2005. "Market Value and Patent Citations," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 16-38, Spring.
    3. Carpenter, Mark P. & Narin, Francis, 1983. "Validation study: Patent citations as indicators of science and foreign dependence," World Patent Information, Elsevier, vol. 5(3), pages 180-185.
    4. Martin Meyer, 2000. "What is Special about Patent Citations? Differences between Scientific and Patent Citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(1), pages 93-123, August.
    5. Martin Meyer, 2000. "Patent Citations in a Novel Field of Technology — What Can They Tell about Interactions between Emerging Communities of Science and Technology?," Scientometrics, Springer;Akadémiai Kiadó, vol. 48(2), pages 151-178, September.
    6. Robert Dalpé, 2002. "Bibliometric analysis of biotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(2), pages 189-213, August.
    7. Arnold Verbeek & Koenraad Debackere & Marc Luwel, 2003. "Science cited in patents: A geographic "flow" analysis of bibliographic citation patterns in patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 241-263, October.
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    Citations

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    Cited by:

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    2. George Messinis, 2011. "Triadic citations, country biases and patent value: the case of pharmaceuticals," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 813-833, December.
    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. Anthony Breitzman & Patrick Thomas, 2015. "Inventor team size as a predictor of the future citation impact of patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 631-647, May.
    5. Kaidong Feng & Ziying Jiang, 2021. "State Capacity and Innovation Policy Performance: A Comparative Study on Two Types of Innovation Projects in China," Review of Policy Research, Policy Studies Organization, vol. 38(4), pages 427-453, July.
    6. Yi Zhang & Yue Qian & Ying Huang & Ying Guo & Guangquan Zhang & Jie Lu, 2017. "An entropy-based indicator system for measuring the potential of patents in technological innovation: rejecting moderation," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1925-1946, June.
    7. Yutao Sun & Chen Zhang & Robert A. W. Kok, 2020. "The role of research outcome quality in the relationship between university research collaboration and technology transfer: empirical results from China," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1003-1026, February.
    8. Zhao Qu & Shanshan Zhang & Chunbo Zhang, 2017. "Patent research in the field of library and information science: Less useful or difficult to explore?," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 205-217, April.
    9. Song, Haoyang & Hou, Jianhua & Zhang, Yang, 2023. "The measurements and determinants of patent technological value: Lifetime, strength, breadth, and dispersion from the technology diffusion perspective," Journal of Informetrics, Elsevier, vol. 17(1).
    10. Yong-Gil Lee, 2009. "What affects a patent’s value? An analysis of variables that affect technological, direct economic, and indirect economic value: An exploratory conceptual approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(3), pages 623-633, June.
    11. Breitzman, Anthony & Thomas, Patrick, 2015. "The Emerging Clusters Model: A tool for identifying emerging technologies across multiple patent systems," Research Policy, Elsevier, vol. 44(1), pages 195-205.
    12. Mu-Hsuan Huang & Dar-Zen Chen & Danqi Shen & Mona S. Wang & Fred Y. Ye, 2015. "Measuring technological performance of assignees using trace metrics in three fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 61-86, July.
    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.

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