IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v128y2023i10d10.1007_s11192-023-04803-5.html
   My bibliography  Save this article

Support behind the scenes: the relationship between acknowledgement, coauthor, and citation in Nobel articles

Author

Listed:
  • Wen Lou

    (East China Normal University
    National Press and Publication Administration
    East China Normal University)

  • Jiangen He

    (University of Tennessee)

  • Lingxin Zhang

    (East China Normal University)

  • Zhijie Zhu

    (East China Normal University)

  • Yongjun Zhu

    (Yonsei University)

Abstract

Acknowledging individuals in research articles is known to be a personal and private expression of appreciation compared to other types of acknowledgment, such as financial support. Early studies have demonstrated the significant relationship between acknowledgement, coauthor, and citation. Little did we know to what extent of these relationships and which prompt what to some degree among them. We adopt a series of multivariate analyses, Bayes’ theorem, statistical analysis, and “before and after” matched-group studies to illustrate the acknowledgement patterns in 6323 research articles of 196 Nobel Prize laureates (NPL) from 2008 to 2018. Acknowledgment is consistently proved to significantly relate to co-authorship and citation where co-authorship and citing have an approximately 10% increasing effect on acknowledgement behavior. Our study is the first to state the order of such triangle: acknowledgement is significantly ahead of co-authorship and arguably occurs before citing behavior. Moreover, acknowledgement strengthens more than half of NPL on their co-authorship for 11% and citation for 72% after they acknowledge others. We verify the substantive possibility of co-authorship and citing behavior from acknowledgement and introduce a formation of a new norm of scholarly communication. This will greatly contribute to the matter of evaluation metrics and social network detection.

Suggested Citation

  • Wen Lou & Jiangen He & Lingxin Zhang & Zhijie Zhu & Yongjun Zhu, 2023. "Support behind the scenes: the relationship between acknowledgement, coauthor, and citation in Nobel articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5767-5790, October.
  • Handle: RePEc:spr:scient:v:128:y:2023:i:10:d:10.1007_s11192-023-04803-5
    DOI: 10.1007/s11192-023-04803-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-023-04803-5
    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/s11192-023-04803-5?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. 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.
    2. Anton J. Nederhof & Thed N. Leeuwen & Anthony F. J. Raan, 2010. "Highly cited non-journal publications in political science, economics and psychology: a first exploration," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(2), pages 363-374, May.
    3. Tove Faber Frandsen & Jeppe Nicolaisen, 2013. "The ripple effect: Citation chain reactions of a nobel prize," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(3), pages 437-447, March.
    4. Min Song & Keun Young Kang & Tatsawan Timakum & Xinyuan Zhang, 2020. "Examining influential factors for acknowledgements classification using supervised learning," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-21, February.
    5. Chao Min & Qingyu Chen & Erjia Yan & Yi Bu & Jianjun Sun, 2021. "Citation cascade and the evolution of topic relevance," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(1), pages 110-127, January.
    6. Blaise Cronin & Gail McKenzie & Lourdes Rubio & Sherrill Weaver‐Wozniak, 1993. "Accounting for influence: Acknowledgments in contemporary sociology," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 44(7), pages 406-412, August.
    7. Branco Ponomariov & Craig Boardman, 2016. "What is co-authorship?," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1939-1963, December.
    8. Rose, Michael E. & Georg, Co-Pierre, 2021. "What 5,000 acknowledgements tell us about informal collaboration in financial economics," Research Policy, Elsevier, vol. 50(6).
    9. Baffes, John & Vamvakidis, Athanasios, 2011. "Are you too young for the Nobel Prize?," Research Policy, Elsevier, vol. 40(10), pages 1345-1353.
    10. 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.
    11. Vincent Larivière & Cassidy R. Sugimoto & Pierrette Bergeron, 2013. "In their own image? a comparison of doctoral students' and faculty members' referencing behavior," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(5), pages 1045-1054, May.
    12. Yves Gingras & Matthew L. Wallace, 2010. "Why it has become more difficult to predict Nobel Prize winners: a bibliometric analysis of nominees and winners of the chemistry and physics prizes (1901–2007)," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 401-412, February.
    13. John Rigby, 2011. "Systematic grant and funding body acknowledgement data for publications: new dimensions and new controversies for research policy and evaluation," Research Evaluation, Oxford University Press, vol. 20(5), pages 365-375, December.
    14. Michael L. Polemis & Thanasis Stengos, 2022. "What shapes the delay in the Nobel Prize discoveries? A research note," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 803-811, February.
    15. Binglu Wang & Yi Bu & Yang Xu, 2018. "A quantitative exploration on reasons for citing articles from the perspective of cited authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 675-687, August.
    16. Ho Fai Chan & Laura Gleeson & Benno Torgler, 2014. "Awards before and after the Nobel Prize: A Matthew effect and/or a ticket to one’s own funeral?," Research Evaluation, Oxford University Press, vol. 23(3), pages 210-220.
    17. Lu Liu & Yang Wang & Roberta Sinatra & C. Lee Giles & Chaoming Song & Dashun Wang, 2018. "Hot streaks in artistic, cultural, and scientific careers," Nature, Nature, vol. 559(7714), pages 396-399, July.
    18. Alberto Baccini & Eugenio Petrovich, 2022. "Normative versus strategic accounts of acknowledgment data: The case of the top-five journals of economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 603-635, January.
    19. Shanwu Tian & Xiurui Xu & Ping Li, 2021. "Acknowledgement network and citation count: the moderating role of collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7837-7857, September.
    20. Tove Faber Frandsen & Jeppe Nicolaisen, 2013. "The ripple effect: Citation chain reactions of a nobel prize," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(3), pages 437-447, March.
    21. Liang, Guoqiang & Hou, Haiyan & Ding, Ying & Hu, Zhigang, 2020. "Knowledge recency to the birth of Nobel Prize-winning articles: Gender, career stage, and country," Journal of Informetrics, Elsevier, vol. 14(3).
    22. Blaise Cronin & Debora Shaw & Kathryn La Barre, 2003. "A cast of thousands: Coauthorship and subauthorship collaboration in the 20th century as manifested in the scholarly journal literature of psychology and philosophy," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(9), pages 855-871, July.
    23. Győrffy, Balázs & Herman, Péter & Szabó, István, 2020. "Research funding: past performance is a stronger predictor of future scientific output than reviewer scores," Journal of Informetrics, Elsevier, vol. 14(3).
    24. 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.
    25. 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.
    26. Abdullah Gök & John Rigby & Philip Shapira, 2016. "The impact of research funding on scientific outputs: Evidence from six smaller European countries," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(3), pages 715-730, March.
    27. Rudolf Farys & Tobias Wolbring, 2017. "Matched control groups for modeling events in citation data: An illustration of nobel prize effects in citation networks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(9), pages 2201-2210, September.
    28. Paul-Hus, Adèle & Mongeon, Philippe & Sainte-Marie, Maxime & Larivière, Vincent, 2017. "The sum of it all: Revealing collaboration patterns by combining authorship and acknowledgements," Journal of Informetrics, Elsevier, vol. 11(1), pages 80-87.
    29. Ho F. Chan & Franklin G. Mixon & Benno Torgler, 2018. "Relation of early career performance and recognition to the probability of winning the Nobel Prize in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 1069-1086, March.
    30. Caroline S Wagner & Edwin Horlings & Travis A Whetsell & Pauline Mattsson & Katarina Nordqvist, 2015. "Do Nobel Laureates Create Prize-Winning Networks? An Analysis of Collaborative Research in Physiology or Medicine," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-13, July.
    31. Ho Fai Chan & Ali Sina Önder & Benno Torgler, 2015. "Do Nobel laureates change their patterns of collaboration following prize reception?," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2215-2235, December.
    32. Vincent Larivière & Cassidy R. Sugimoto & Pierrette Bergeron, 2013. "In their own image? a comparison of doctoral students' and faculty members' referencing behavior," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(5), pages 1045-1054, May.
    33. Álvarez-Bornstein, Belén & Bordons, María, 2021. "Is funding related to higher research impact? Exploring its relationship and the mediating role of collaboration in several disciplines," Journal of Informetrics, Elsevier, vol. 15(1).
    34. Samuel Bjork & Avner Offer & Gabriel Söderberg, 2014. "Time series citation data: the Nobel Prize in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 185-196, January.
    35. Bozeman, Barry & Corley, Elizabeth, 2004. "Scientists' collaboration strategies: implications for scientific and technical human capital," Research Policy, Elsevier, vol. 33(4), pages 599-616, May.
    36. 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.
    37. Erjia Yan & Zheng Chen & Kai Li, 2020. "Authors' status and the perceived quality of their work: Measuring citation sentiment change in nobel articles," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(3), pages 314-324, March.
    Full references (including those not matched with items on IDEAS)

    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. Jingda Ding & Yifan Chen & Chao Liu, 2023. "Exploring the research features of Nobel laureates in Physics based on the semantic similarity measurement," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5247-5275, September.
    2. Jelnov, Pavel & Weiss, Yoram, 2022. "Influence in economics and aging," Labour Economics, Elsevier, vol. 77(C).
    3. 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.
    4. Elisabeth Maria Schlagberger & Lutz Bornmann & Johann Bauer, 2016. "At what institutions did Nobel laureates do their prize-winning work? An analysis of biographical information on Nobel laureates from 1994 to 2014," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 723-767, November.
    5. Pengfei Jia & Weixi Xie & Guangyao Zhang & Xianwen Wang, 2023. "Do reviewers get their deserved acknowledgments from the authors of manuscripts?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5687-5703, October.
    6. Li, Heyang & Wu, Meijun & Wang, Yougui & Zeng, An, 2022. "Bibliographic coupling networks reveal the advantage of diversification in scientific projects," Journal of Informetrics, Elsevier, vol. 16(3).
    7. 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.
    8. 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.
    9. Alberto Baccini & Eugenio Petrovich, 2022. "Normative versus strategic accounts of acknowledgment data: The case of the top-five journals of economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 603-635, January.
    10. Jianhua Hou & Bili Zheng & Yang Zhang & Chaomei Chen, 2021. "How do Price medalists’ scholarly impact change before and after their awards?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5945-5981, July.
    11. Nina Smirnova & Philipp Mayr, 2023. "A comprehensive analysis of acknowledgement texts in Web of Science: a case study on four scientific domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 709-734, January.
    12. 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.
    13. Iván Aranzales & Ho Fai Chan & Benno Torgler, 2023. "Finally! How time lapse in Nobel Prize reception affects emotionality in the Nobel Prize banquet speeches," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(7), pages 4089-4115, July.
    14. Pandelis Mitsis, 2022. "The Nobel Prize time gap," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    15. Ho Fai Chan & Ali Sina Önder & Benno Torgler, 2015. "Do Nobel laureates change their patterns of collaboration following prize reception?," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2215-2235, December.
    16. R. Bjørk, 2019. "The age at which Noble Prize research is conducted," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 931-939, May.
    17. Ho Fai Chan & Franklin G. Mixon & Jayanta Sarkar & Benno Torgler, 2022. "Recognition and longevity: an examination of award timing and lifespan in Nobel laureates," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3629-3659, June.
    18. R. Bjørk, 2020. "The journals in physics that publish Nobel Prize research," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 817-823, February.
    19. 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.
    20. 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.

    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:128:y:2023:i:10:d:10.1007_s11192-023-04803-5. 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.