IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v104y2015i3d10.1007_s11192-015-1633-3.html
   My bibliography  Save this article

Funding ratios in social science: the perspective of countries/territories level and comparison with natural sciences

Author

Listed:
  • Xin Xu

    (East China Normal University)

  • Alice M. Tan

    (Zhejiang University)

  • Star X. Zhao

    (East China Normal University)

Abstract

Research funding plays a key role in current science, thus it has become an aggregative interesting level in scientometric analysis. In this work, we try to explore the funding ratios of 21 major countries/territories in social science based on 813,809 research articles collected from the Web of Science and indexed by the Social Sciences Citation Index covering the period from 2009 to 2013. The results show that the funding ratios of sample countries/territories in social science are far below that in natural science and some specific subjects (chemistry, engineering, physics, neurosciences). However, there is a positive correlation between them. The funding ratios of People’s Republic of China, Sweden and Japan rank the top 3 (over 30 %). Generally, the funding ratios of the top 1 % and top 10 % highly cited articles are higher than those of the rest of articles, and for most cases, the high funding ratio of all articles is related to the high funding ratio of the highly cited articles.

Suggested Citation

  • Xin Xu & Alice M. Tan & Star X. Zhao, 2015. "Funding ratios in social science: the perspective of countries/territories level and comparison with natural sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 673-684, September.
    • Handle: RePEc:spr:scient:v:104:y:2015:i:3:d:10.1007_s11192-015-1633-3
    DOI: 10.1007/s11192-015-1633-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-015-1633-3
    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/s11192-015-1633-3?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. Jiang Li & Yueting Li, 2015. "Patterns and evolution of coauthorship in China’s humanities and social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 1997-2010, March.
    2. Philip Shapira & Jue Wang, 2010. "Follow the money," Nature, Nature, vol. 468(7324), pages 627-628, December.
    3. Rodrigo Costas & Thed N. Leeuwen, 2012. "Approaching the “reward triangle”: General analysis of the presence of funding acknowledgments and “peer interactive communication” in scientific publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(8), pages 1647-1661, August.
    4. Xianwen Wang & Di Liu & Kun Ding & Xinran Wang, 2012. "Science funding and research output: a study on 10 countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 591-599, May.
    5. Vladimir Pislyakov & Elena Shukshina, 2014. "Measuring excellence in Russia: Highly cited papers, leading institutions, patterns of national and international collaboration," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(11), pages 2321-2330, November.
    6. Jue Wang & Philip Shapira, 2011. "Funding acknowledgement analysis: an enhanced tool to investigate research sponsorship impacts: the case of nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 563-586, June.
    7. Robert J. W. Tijssen & Martijn S. Visser & Thed N. van Leeuwen, 2002. "Benchmarking international scientific excellence: Are highly cited research papers an appropriate frame of reference?," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(3), pages 381-397, July.
    8. Ping Zhou & Huibao Tian, 2014. "Funded collaboration research in mathematics in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 695-715, June.
    9. Adrián A. Díaz-Faes & María Bordons, 2014. "Acknowledgments in scientific publications: Presence in Spanish science and text patterns across disciplines," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(9), pages 1834-1849, September.
    10. Rodrigo Costas & Thed N. van Leeuwen, 2012. "Approaching the “reward triangle”: General analysis of the presence of funding acknowledgments and “peer interactive communication” in scientific publications," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(8), pages 1647-1661, August.
    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. Nadine Desrochers & Adèle Paul‐Hus & Jen Pecoskie, 2017. "Five decades of gratitude: A meta‐synthesis of acknowledgments research," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(12), pages 2821-2833, December.
    2. Manoj Kumar Verma & Daud Khan & Mayank Yuvaraj, 2023. "Scientometric assessment of funded scientometrics and bibliometrics research (2011–2021)," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4305-4320, August.
    3. Zhao, Star X. & Tan, Alice M. & Yu, Shuang & Xu, Xin, 2018. "Analyzing the research funding in physics: The perspective of production and collaboration at institution level," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 662-674.
    4. Star X. Zhao & Shuang Yu & Alice M. Tan & Xin Xu & Haiyan Yu, 2016. "Global pattern of science funding in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 463-479, October.
    5. Ji-ping Gao & Cheng Su & Hai-yan Wang & Li-hua Zhai & Yun-tao Pan, 2019. "Research fund evaluation based on academic publication output analysis: the case of Chinese research fund evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 959-972, May.
    6. Adèle Paul-Hus & Adrián A Díaz-Faes & Maxime Sainte-Marie & Nadine Desrochers & Rodrigo Costas & Vincent Larivière, 2017. "Beyond funding: Acknowledgement patterns in biomedical, natural and social sciences," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-14, October.
    7. Star X. Zhao & Wen Lou & Alice M. Tan & Shuang Yu, 2018. "Do funded papers attract more usage?," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 153-168, April.

    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. Nicola Grassano & Daniele Rotolo & Joshua Hutton & Frédérique Lang & Michael M. Hopkins, 2017. "Funding Data from Publication Acknowledgments: Coverage, Uses, and Limitations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(4), pages 999-1017, April.
    2. Weishu Liu & Li Tang & Guangyuan Hu, 2020. "Funding information in Web of Science: an updated overview," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1509-1524, March.
    3. Adèle Paul-Hus & Nadine Desrochers & Rodrigo Costas, 2016. "Characterization, description, and considerations for the use of funding acknowledgement data in Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 167-182, July.
    4. Belén Álvarez-Bornstein & Fernanda Morillo & María Bordons, 2017. "Funding acknowledgments in the Web of Science: completeness and accuracy of collected data," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1793-1812, September.
    5. Mu-Hsuan Huang & Mei-Jhen Huang, 2018. "An analysis of global research funding from subject field and funding agencies perspectives in the G9 countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 833-847, May.
    6. Fernanda Morillo & Belén Álvarez-Bornstein, 2018. "How to automatically identify major research sponsors selecting keywords from the WoS Funding Agency field," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1755-1770, December.
    7. Fernanda Morillo, 2016. "Public–private interactions reflected through the funding acknowledgements," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1193-1204, September.
    8. Adèle Paul-Hus & Adrián A Díaz-Faes & Maxime Sainte-Marie & Nadine Desrochers & Rodrigo Costas & Vincent Larivière, 2017. "Beyond funding: Acknowledgement patterns in biomedical, natural and social sciences," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-14, October.
    9. Star X. Zhao & Shuang Yu & Alice M. Tan & Xin Xu & Haiyan Yu, 2016. "Global pattern of science funding in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 463-479, October.
    10. Belén Álvarez-Bornstein & Adrián A. Díaz-Faes & María Bordons, 2019. "What characterises funded biomedical research? Evidence from a basic and a clinical domain," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 805-825, May.
    11. Mohammed R. AlShareef & Ibrahim A. Alrammah & Nasser A. Alshoukani & Abdulaziz M. Almalik, 2023. "The impact of financial incentives on research production: Evidence from Saudi Arabia," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 3067-3089, May.
    12. Ji-ping Gao & Cheng Su & Hai-yan Wang & Li-hua Zhai & Yun-tao Pan, 2019. "Research fund evaluation based on academic publication output analysis: the case of Chinese research fund evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 959-972, May.
    13. Star X. Zhao & Wen Lou & Alice M. Tan & Shuang Yu, 2018. "Do funded papers attract more usage?," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 153-168, April.
    14. Zhao, Star X. & Tan, Alice M. & Yu, Shuang & Xu, Xin, 2018. "Analyzing the research funding in physics: The perspective of production and collaboration at institution level," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 662-674.
    15. Fernanda Morillo, 2019. "Collaboration and impact of research in different disciplines with international funding (from the EU and other foreign sources)," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 807-823, August.
    16. Jamal El-Ouahi, 2024. "Research funding in the Middle East and North Africa: analyses of acknowledgments in scientific publications indexed in the Web of Science (2008–2021)," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 2933-2968, June.
    17. Fernanda Morillo & Rodrigo Costas & María Bordons, 2015. "How is credit given to networking centres in their publications? A case study of the Spanish CIBER research structures," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 923-938, June.
    18. Goio Etxebarria & Mikel Gomez-Uranga & Jon Barrutia, 2012. "Tendencies in scientific output on carbon nanotubes and graphene in global centers of excellence for nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 253-268, April.
    19. Nadine Desrochers & Adèle Paul‐Hus & Jen Pecoskie, 2017. "Five decades of gratitude: A meta‐synthesis of acknowledgments research," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(12), pages 2821-2833, December.
    20. Gianluca Fabiano & Andrea Marcellusi & Giampiero Favato, 2020. "Public–private contribution to biopharmaceutical discoveries: a bibliometric analysis of biomedical research in UK," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 153-168, July.

    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:104:y:2015:i:3:d:10.1007_s11192-015-1633-3. 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.