IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v126y2021i9d10.1007_s11192-021-04090-y.html
   My bibliography  Save this article

Acknowledgement network and citation count: the moderating role of collaboration network

Author

Listed:
  • Shanwu Tian

    (Renmin University of China)

  • Xiurui Xu

    (Beijing Institute of Technology)

  • Ping Li

    (Renmin University of China)

Abstract

The scholars mentioned in a paper’s acknowledgement (acknowledgees) play an important role in the paper’s development and citation count. However, there are exiguous studies have been conducted on the acknowledgees from a network perspective. Based on the social network theory, we propose that the citation count of a paper is greatly affected by the acknowledgement network. The collaboration network is expected to negatively moderate the relationship between acknowledgement network and citation count. We establish the acknowledgement network with nodes as acknowledgees and authors, and ties as acknowledgement relationship between them. Using the bibliographic data of scientific articles from 2008 to 2010 in the field of wind energy as sample, which is provided by Web of Science Core Collection database, we build both acknowledgement network and collaboration network. Negative binomial regression model and several robustness tests are used as our research methods. The results show that acknowledgees’ centrality in the acknowledgement network has a positive effect on citation count. The authors’ centrality in the collaboration network negatively moderates the relationship between acknowledgees’ centrality and citation count. Specifically, the higher the author’s centrality in the collaboration network, the more likely the effect of acknowledgees’ centrality on the paper’s citation count will be inhibited. Finally, the theoretical and methodological contributions as well as practical implications are discussed.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:scient:v:126:y:2021:i:9:d:10.1007_s11192-021-04090-y
    DOI: 10.1007/s11192-021-04090-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-021-04090-y
    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/s11192-021-04090-y?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. Thelwall, Mike & Wilson, Paul, 2014. "Regression for citation data: An evaluation of different methods," Journal of Informetrics, Elsevier, vol. 8(4), pages 963-971.
    2. Guan, Jiancheng & Yan, Yan & Zhang, Jing Jing, 2017. "The impact of collaboration and knowledge networks on citations," Journal of Informetrics, Elsevier, vol. 11(2), pages 407-422.
    3. Jiancheng Guan & Yan Yan & Jingjing Zhang, 2015. "How do collaborative features affect scientific output? Evidences from wind power field," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 333-355, January.
    4. 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.
    5. Guan, Jiancheng & Liu, Na, 2016. "Exploitative and exploratory innovations in knowledge network and collaboration network: A patent analysis in the technological field of nano-energy," Research Policy, Elsevier, vol. 45(1), pages 97-112.
    6. H. P. F. Peters & A. F. J. van Raan, 1994. "On determinants of citation scores: A case study in chemical engineering," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 45(1), pages 39-49, January.
    7. Sperling, Karl & Hvelplund, Frede & Mathiesen, Brian Vad, 2010. "Evaluation of wind power planning in Denmark – Towards an integrated perspective," Energy, Elsevier, vol. 35(12), pages 5443-5454.
    8. Abbasi, Alireza & Hossain, Liaquat & Leydesdorff, Loet, 2012. "Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks," Journal of Informetrics, Elsevier, vol. 6(3), pages 403-412.
    9. Wang, Jian, 2016. "Knowledge creation in collaboration networks: Effects of tie configuration," Research Policy, Elsevier, vol. 45(1), pages 68-80.
    10. Weishu Liu, 2019. "The data source of this study is Web of Science Core Collection? Not enough," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1815-1824, December.
    11. Lachance, Christian & Larivière, Vincent, 2014. "On the citation lifecycle of papers with delayed recognition," Journal of Informetrics, Elsevier, vol. 8(4), pages 863-872.
    12. Hamid R. Jamali & Mahsa Nikzad, 2011. "Article title type and its relation with the number of downloads and citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 653-661, August.
    13. George P. Huber & Danial J. Power, 1985. "Retrospective reports of strategic‐level managers: Guidelines for increasing their accuracy," Strategic Management Journal, Wiley Blackwell, vol. 6(2), pages 171-180, April.
    14. Abbasi, Alireza & Altmann, Jörn & Hossain, Liaquat, 2011. "Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures," Journal of Informetrics, Elsevier, vol. 5(4), pages 594-607.
    15. Li, Eldon Y. & Liao, Chien Hsiang & Yen, Hsiuju Rebecca, 2013. "Co-authorship networks and research impact: A social capital perspective," Research Policy, Elsevier, vol. 42(9), pages 1515-1530.
    16. Stefano Breschi & Francesco Lissoni, 2010. ""Cross-Firm" Inventors and Social Networks: Localized Knowledge Spillovers Revisited," NBER Chapters, in: Contributions in Memory of Zvi Griliches, pages 189-209, National Bureau of Economic Research, Inc.
    17. 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.
    18. Glenn D. Walters, 2006. "Predicting subsequent citations to articles published in twelve crime-psychology journals: Author impact versus journal impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(3), pages 499-510, December.
    19. Ortega, José Luis, 2014. "Influence of co-authorship networks in the research impact: Ego network analyses from Microsoft Academic Search," Journal of Informetrics, Elsevier, vol. 8(3), pages 728-737.
    20. Gautam Ahuja, 2000. "The duality of collaboration: inducements and opportunities in the formation of interfirm linkages," Strategic Management Journal, Wiley Blackwell, vol. 21(3), pages 317-343, March.
    21. Valentine, Scott Victor, 2010. "A STEP toward understanding wind power development policy barriers in advanced economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 2796-2807, December.
    22. Blaise Cronin & Sara Franks, 2006. "Trading cultures: Resource mobilization and service rendering in the life sciences as revealed in the journal article's paratext," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(14), pages 1909-1918, December.
    23. Loet Leydesdorff & Lutz Bornmann & Caroline S. Wagner, 2019. "The Relative Influences of Government Funding and International Collaboration on Citation Impact," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 70(2), pages 198-201, February.
    24. Abbasi, Alireza & Jaafari, Ali, 2013. "Research impact and scholars’ geographical diversity," Journal of Informetrics, Elsevier, vol. 7(3), pages 683-692.
    25. Tahamtan, Iman & Bornmann, Lutz, 2018. "Creativity in science and the link to cited references: Is the creative potential of papers reflected in their cited references?," Journal of Informetrics, Elsevier, vol. 12(3), pages 906-930.
    26. Wang, Jue & Zhang, Liwei, 2018. "Proximal advantage in knowledge diffusion: The time dimension," Journal of Informetrics, Elsevier, vol. 12(3), pages 858-867.
    27. Blaise Cronin, 2001. "Hyperauthorship: A postmodern perversion or evidence of a structural shift in scholarly communication practices?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(7), pages 558-569.
    28. Kevin W. Boyack & Katy Börner, 2003. "Indicator‐assisted evaluation and funding of research: Visualizing the influence of grants on the number and citation counts of research papers," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(5), pages 447-461, March.
    29. Tahamtan, Iman & Bornmann, Lutz, 2018. "Core elements in the process of citing publications: Conceptual overview of the literature," Journal of Informetrics, Elsevier, vol. 12(1), pages 203-216.
    30. Ehsan Mohammadi & Mike Thelwall, 2014. "Mendeley readership altmetrics for the social sciences and humanities: Research evaluation and knowledge flows," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(8), pages 1627-1638, August.
    31. Stephen J. Bensman, 2008. "Distributional differences of the impact factor in the sciences versus the social sciences: An analysis of the probabilistic structure of the 2005 journal citation reports," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(9), pages 1366-1382, July.
    32. 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.
    33. Woo Hyoung Lee, 2008. "How to identify emerging research fields using scientometrics: An example in the field of Information Security," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 503-525, September.
    34. Li Tang & Guangyuan Hu & Weishu Liu, 2017. "Funding acknowledgment analysis: Queries and caveats," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(3), pages 790-794, March.
    35. Pablo D. Batista & Mônica G. Campiteli & Osame Kinouchi, 2006. "Is it possible to compare researchers with different scientific interests?," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(1), pages 179-189, July.
    36. Lambiotte, R. & Panzarasa, P., 2009. "Communities, knowledge creation, and information diffusion," Journal of Informetrics, Elsevier, vol. 3(3), pages 180-190.
    37. Iman Tahamtan & Askar Safipour Afshar & Khadijeh Ahamdzadeh, 2016. "Factors affecting number of citations: a comprehensive review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1195-1225, June.
    38. 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.
    39. Elias Sanz-Casado & J. Carlos Garcia-Zorita & Antonio Eleazar Serrano-López & Birger Larsen & Peter Ingwersen, 2013. "Renewable energy research 1995–2009: a case study of wind power research in EU, Spain, Germany and Denmark," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 197-224, April.
    40. Dag W. Aksnes & Gunnar Sivertsen, 2004. "The effect of highly cited papers on national citation indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(2), pages 213-224, February.
    41. Ajiferuke, Isola & Famoye, Felix, 2015. "Modelling count response variables in informetric studies: Comparison among count, linear, and lognormal regression models," Journal of Informetrics, Elsevier, vol. 9(3), pages 499-513.
    42. Katherine W. McCain, 2018. "Beyond Garfield’s Citation Index: an assessment of some issues in building a personal name Acknowledgments Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 605-631, February.
    43. Paul F. Skilton, 2006. "A comparative study of communal practice: Assessing the effects of taken-for-granted-ness on citation practice in scientific communities," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(1), pages 73-96, July.
    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. 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.
    2. Yue Wang & Ning Li & Bin Zhang & Qian Huang & Jian Wu & Yang Wang, 2023. "The effect of structural holes on producing novel and disruptive research in physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1801-1823, March.
    3. Marcelo Oliveira Passos & Priscila Lujan Gonzalez & Mathias Schneid Tessmann & Daniel Abreu Pereira Uhr, 2022. "The greatest co-authorships of finance theory literature (1896–2006): scientometrics based on complex networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5841-5862, October.
    4. 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.

    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. Yan Yan & Shanwu Tian & Jingjing Zhang, 2020. "The impact of a paper’s new combinations and new components on its citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 895-913, February.
    2. Guan, Jiancheng & Yan, Yan & Zhang, Jing Jing, 2017. "The impact of collaboration and knowledge networks on citations," Journal of Informetrics, Elsevier, vol. 11(2), pages 407-422.
    3. 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.
    4. Marian-Gabriel Hâncean & Matjaž Perc & Jürgen Lerner, 2021. "The coauthorship networks of the most productive European researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 201-224, January.
    5. Yan Yan & Jiancheng Guan, 2018. "How multiple networks help in creating knowledge: evidence from alternative energy patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 51-77, April.
    6. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    7. Chen, Wei & Yan, Yan, 2023. "New components and combinations: The perspective of the internal collaboration networks of scientific teams," Journal of Informetrics, Elsevier, vol. 17(2).
    8. Yue Wang & Ning Li & Bin Zhang & Qian Huang & Jian Wu & Yang Wang, 2023. "The effect of structural holes on producing novel and disruptive research in physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1801-1823, March.
    9. Jiancheng Guan & Lanxin Pang, 2018. "Bidirectional relationship between network position and knowledge creation in Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 201-222, April.
    10. Jiancheng Guan & Yan Yan & Jingjing Zhang, 2015. "How do collaborative features affect scientific output? Evidences from wind power field," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 333-355, January.
    11. Martorell Cunil, Onofre & Otero González, Luis & Durán Santomil, Pablo & Mulet Forteza, Carlos, 2023. "How to accomplish a highly cited paper in the tourism, leisure and hospitality field," Journal of Business Research, Elsevier, vol. 157(C).
    12. Stefano Scarazzati & Lili Wang, 2019. "The effect of collaborations on scientific research output: the case of nanoscience in Chinese regions," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 839-868, November.
    13. Iman Tahamtan & Askar Safipour Afshar & Khadijeh Ahamdzadeh, 2016. "Factors affecting number of citations: a comprehensive review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1195-1225, June.
    14. Liu, Qiuling & Guo, Lei & Sun, Yiping & Ren, Linlin & Wang, Xinhua & Han, Xiaohui, 2024. "Do scholars' collaborative tendencies impact the quality of their publications? A generalized propensity score matching analysis," Journal of Informetrics, Elsevier, vol. 18(1).
    15. Zhang, Xinyuan & Xie, Qing & Song, Min, 2021. "Measuring the impact of novelty, bibliometric, and academic-network factors on citation count using a neural network," Journal of Informetrics, Elsevier, vol. 15(2).
    16. 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.
    17. Ajiferuke, Isola & Famoye, Felix, 2015. "Modelling count response variables in informetric studies: Comparison among count, linear, and lognormal regression models," Journal of Informetrics, Elsevier, vol. 9(3), pages 499-513.
    18. Zhai, Li & Yan, Xiangbin, 2022. "A directed collaboration network for exploring the order of scientific collaboration," Journal of Informetrics, Elsevier, vol. 16(4).
    19. Shen, Hongquan & Cheng, Ying & Ju, Xiufang & Xie, Juan, 2022. "Rethinking the effect of inter-gender collaboration on research performance for scholars," Journal of Informetrics, Elsevier, vol. 16(4).
    20. 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.

    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:126:y:2021:i:9:d:10.1007_s11192-021-04090-y. 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.