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Predicting Patent Citations to measure Economic Impact of Scholarly Research

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  • Abdul Rahman Shaikh
  • Hamed Alhoori

Abstract

A crucial goal of funding research and development has always been to advance economic development. On this basis, a consider-able body of research undertaken with the purpose of determining what exactly constitutes economic impact and how to accurately measure that impact has been published. Numerous indicators have been used to measure economic impact, although no single indicator has been widely adapted. Based on patent data collected from Altmetric we predict patent citations through various social media features using several classification models. Patents citing a research paper implies the potential it has for direct application inits field. These predictions can be utilized by researchers in deter-mining the practical applications for their work when applying for patents.

Suggested Citation

  • Abdul Rahman Shaikh & Hamed Alhoori, 2019. "Predicting Patent Citations to measure Economic Impact of Scholarly Research," Papers 1906.08244, arXiv.org.
    • Handle: RePEc:arx:papers:1906.08244
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    References listed on IDEAS

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    1. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    2. Corinne Langinier & GianCarlo Moschini, 2002. "Economics of Patents: An Overview, The," Center for Agricultural and Rural Development (CARD) Publications 02-wp293, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    3. 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.
    4. Leonardo Costa Ribeiro & Glenda Kruss & Gustavo Britto & Américo Tristão Bernardes & Eduardo Motta e Albuquerque, 2014. "A methodology for unveiling global innovation networks: patent citations as clues to cross border knowledge flows," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 61-83, October.
    5. Zvi Griliches, 1998. "R&D and Productivity: The Econometric Evidence," NBER Books, National Bureau of Economic Research, Inc, number gril98-1.
    6. Griliches, Zvi, 1998. "R&D and Productivity," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226308869.
    7. Mariagrazia Squicciarini & Hélène Dernis & Chiara Criscuolo, 2013. "Measuring Patent Quality: Indicators of Technological and Economic Value," OECD Science, Technology and Industry Working Papers 2013/3, OECD Publishing.
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    Cited by:

    1. Abdul Rahman Shaikh & Hamed Alhoori & Maoyuan Sun, 2023. "YouTube and science: models for research impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 933-955, February.
    2. Shahzad, Murtuza & Alhoori, Hamed & Freedman, Reva & Rahman, Shaikh Abdul, 2022. "Quantifying the online long-term interest in research," Journal of Informetrics, Elsevier, vol. 16(2).

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