IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v97y2013i2d10.1007_s11192-013-1005-9.html
   My bibliography  Save this article

A surname-based patent-related indicator: the contribution of Jewish inventors to US patents

Author

Listed:
  • Igor Kissin

    (Brigham and Women’s Hospital, Harvard Medical School)

  • Edwin L. Bradley

    (University of Alabama)

Abstract

It was found that the surname-based representation of Jewish authors in the top US biomedical journals corresponds to the representation of Jewish Nobel Laureates in Medicine among US laureates: Both of them are almost equally disproportionately high, with the ratio of actual to expected number close to 20 (Kissin, Scientometrics 89:273–280, 2011). The main aim of this study was to determine whether the contribution of Jewish inventors is also disproportionately high. The number of patents (US Patent and Trademark Office database) per thousand persons with the same surname (2000 Census) was determined (index P). Index P was compared with index A, which represents the number of the articles in the top US biomedical journals, and index G, which is based on the representation of a surname in the Google’s option “Discussions”, reflecting a combination of various business and leisure activities (designed as a negative control). The collective contributions of the 96 Jewish surname groups for each of the above indices were calculated. The ratio of actual to expected number of US patents was found to be disproportionately high—6.1 (p

Suggested Citation

  • Igor Kissin & Edwin L. Bradley, 2013. "A surname-based patent-related indicator: the contribution of Jewish inventors to US patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 357-368, November.
    • Handle: RePEc:spr:scient:v:97:y:2013:i:2:d:10.1007_s11192-013-1005-9
    DOI: 10.1007/s11192-013-1005-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-013-1005-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-013-1005-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Grant Lewison & Valentina Markusova, 2011. "Female researchers in Russia: have they become more visible?," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 139-152, October.
    2. Grant Lewison & Ramesh Kundra, 2008. "The internal migration of Indian scientists, 1981–2003, from an analysis of surnames," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(1), pages 21-35, April.
    3. Berenika M Webster, 2004. "Bibliometric analysis of presence and impact of ethnic minority researchers on science in the UK," Research Evaluation, Oxford University Press, vol. 13(1), pages 69-76, April.
    4. Igor Kissin, 2011. "A surname-based bibliometric indicator: publications in biomedical journal," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 273-280, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Weishu Liu & Li Tang & Mengdi Gu & Guangyuan Hu, 2015. "Feature report on China: a bibliometric analysis of China-related articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 503-517, January.
    2. Grant Lewison & Sameer Kumar & Chan-Yuan Wong & Philip Roe & Richard Webber, 2016. "The contribution of ethnic groups to Malaysian scientific output, 1982–2014, and the effects of the new economic policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1877-1893, December.
    3. Xingqiang Du, 2019. "What’s in a Surname? The Effect of Auditor-CEO Surname Sharing on Financial Misstatement," Journal of Business Ethics, Springer, vol. 158(3), pages 849-874, September.
    4. Xu, Qifa & Tan, Chao & Jiang, Cuixia & Zhao, Qinna, 2022. "Surname relationship and trade credit: Evidence from China," Research in International Business and Finance, Elsevier, vol. 60(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Philip Roe & Grant Lewison & Richard Webber, 2014. "The sex and ethnicity or national origins of researchers in astronomy and oncology in four countries, 2006–2007 and 2011–2012," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 287-296, July.
    2. Weishu Liu & Li Tang & Mengdi Gu & Guangyuan Hu, 2015. "Feature report on China: a bibliometric analysis of China-related articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 503-517, January.
    3. Aparna Basu, 2013. "Some differences in research publications of Indian scientists in India and the diaspora, 1986–2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1007-1019, March.
    4. Adèle Paul-Hus & Rébecca L. Bouvier & Chaoqun Ni & Cassidy R. Sugimoto & Vladimir Pislyakov & Vincent Larivière, 2015. "Forty years of gender disparities in Russian science: a historical bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1541-1553, February.
    5. Grant Lewison & Ramesh Kundra, 2008. "The internal migration of Indian scientists, 1981–2003, from an analysis of surnames," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(1), pages 21-35, April.
    6. Hamzehali Nourmohammadi & Fateme Hodaei, 2014. "Perspective of Iranian women’s scientific production in high priority fields of science and technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1455-1471, February.
    7. Hajar Sotudeh & Nahid Khoshian, 2014. "Gender differences in science: the case of scientific productivity in Nano Science & Technology during 2005–2007," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 457-472, January.
    8. Matthias Niggli, 2023. "‘Moving On’—investigating inventors’ ethnic origins using supervised learning," Review of Finance, European Finance Association, vol. 23(4), pages 921-947.
    9. Marina Pilkina & Andrey Lovakov, 2022. "Gender disparities in Russian academia: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3577-3591, June.
    10. Yasuhiro Yamashita & Daisuke Yoshinaga, 2014. "Influence of researchers’ international mobilities on publication: a comparison of highly cited and uncited papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1475-1489, November.
    11. Matthias Niggli, 2022. "'Moving On' -- Investigating Inventors' Ethnic Origins Using Supervised Learning," Papers 2201.00578, arXiv.org.
    12. Yukiko Murakami, 2014. "Influences of return migration on international collaborative research networks: cases of Japanese scientists returning from the US," The Journal of Technology Transfer, Springer, vol. 39(4), pages 616-634, August.
    13. Grant Lewison & Sameer Kumar & Chan-Yuan Wong & Philip Roe & Richard Webber, 2016. "The contribution of ethnic groups to Malaysian scientific output, 1982–2014, and the effects of the new economic policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1877-1893, December.
    14. Koen Jonkers, 2009. "Emerging ties: Factors underlying China’s co-publication patterns with Western European and North American research systems in three molecular life science subfields," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 775-795, September.
    15. Matthias Niggli, 2023. "‘Moving On’—investigating inventors’ ethnic origins using supervised learning," Journal of Economic Geography, Oxford University Press, vol. 23(4), pages 921-947.
    16. Charles Perez & Karina Sokolova & Vincent Dutot, 2022. "Uncovering the Strategies and Dynamics of Research Fields Using Network Science: Structural Evidence from a Decade of Privacy Research," The Review of Socionetwork Strategies, Springer, vol. 16(2), pages 573-597, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:97:y:2013:i:2:d:10.1007_s11192-013-1005-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.