IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v129y2024i10d10.1007_s11192-024-05036-w.html
   My bibliography  Save this article

Collaboration at the phylum level: coauthorship and acknowledgment patterns in the world of the water bears (phylum Tardigrada)

Author

Listed:
  • Katherine W. McCain

    (Drexel University)

Abstract

Coauthor and acknowledgment data were captured for 1384 research articles published between 1980 and June, 2023 that focused on tardigrades. Articles indexed in Web of Science or an archives of tardigrade literature were downloaded and thoroughly examined for personal acknowledgment data. Annual publication counts and coauthor maps for four successive time periods (1980–1999, 2000–2008, 2009–2017, 2018-June 2023) showed growth in the literature and increased research activity (more researchers, more complex networks, more international collaboration), beginning in 2000. A two-level Personal Acknowledgments Classification (PAC), was used to code types of acknowledgments. The majority of articles focused on field studies and/or descriptions of new species of tardigrades. This was reflected in rankings of acknowledgment categories and additions to the PAC. Ranked lists of frequently-thanked acknowledgees (all tardigrade researchers) were produced for each period. Acknowledgment profiles of four frequently-thanked researchers identified three different roles that researchers might play in tardigrade studies—”informal academic editorial consultant,” “taxonomic gatekeeper,” and “all-rounder.” Acknowledgments honoring people by naming a new species after them were only found in the species description, not in the formal acknowledgment section.

Suggested Citation

  • Katherine W. McCain, 2024. "Collaboration at the phylum level: coauthorship and acknowledgment patterns in the world of the water bears (phylum Tardigrada)," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(10), pages 6089-6125, October.
  • Handle: RePEc:spr:scient:v:129:y:2024:i:10:d:10.1007_s11192-024-05036-w
    DOI: 10.1007/s11192-024-05036-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-024-05036-w
    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/s11192-024-05036-w?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. Heo, Go Eun & Ko, Young Soo & Xie, Qing & Song, Min, 2023. "High acknowledgement index: Characterizing research supporters with factors of acknowledgement affecting paper citation counts," Journal of Informetrics, Elsevier, vol. 17(4).
    2. 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.
    3. 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.
    4. 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.
    5. 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).
    6. 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.
    7. 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.
    8. 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.
    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. 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.
    11. 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.
    12. Blaise Cronin & Debora Shaw & Kathryn La Barre, 2004. "Visible, less visible, and invisible work: Patterns of collaboration in 20th century chemistry," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 55(2), pages 160-168, January.
    13. 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.
    14. 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.
    15. 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.
    16. Patricia N. Servi & Belver C. Griffith, 1980. "A method for partitioning the journal literature," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 31(1), pages 36-40, January.
    17. Howard D. White, 2001. "Author-centered bibliometrics through CAMEOs: Characterizations automatically made and edited online," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(3), pages 607-637, January.
    18. Howard D. White, 2001. "Author-centered bibliometrics through CAMEOs: Characterizations automatically made and edited online," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(3), pages 607-637, July.
    19. 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.
    20. Adèle Paul-Hus & Nadine Desrochers, 2019. "Acknowledgements are not just thank you notes: A qualitative analysis of acknowledgements content in scientific articles and reviews published in 2015," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-13, December.
    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. 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.
    2. 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.
    3. 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.
    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.
    5. 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.
    6. 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.
    7. 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.
    8. Nina Smirnova & Philipp Mayr, 2024. "Embedding models for supervised automatic extraction and classification of named entities in scientific acknowledgements," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(11), pages 7261-7285, November.
    9. 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.
    10. Heo, Go Eun & Ko, Young Soo & Xie, Qing & Song, Min, 2023. "High acknowledgement index: Characterizing research supporters with factors of acknowledgement affecting paper citation counts," Journal of Informetrics, Elsevier, vol. 17(4).
    11. 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.
    12. 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.
    13. Liu, Weishu & Hu, Guangyuan & Tang, Li & Wang, Yuandi, 2015. "China's global growth in social science research: Uncovering evidence from bibliometric analyses of SSCI publications (1978–2013)," Journal of Informetrics, Elsevier, vol. 9(3), pages 555-569.
    14. 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.
    15. 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.
    16. Françoise Salager-Meyer & María Ángeles Alcaraz-Ariza & Marianela Luzardo Briceño & Georges Jabbour, 2011. "Scholarly gratitude in five geographical contexts: a diachronic and cross-generic approach of the acknowledgment paratext in medical discourse (1950–2010)," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(3), pages 763-784, March.
    17. 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.
    18. 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.
    19. 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.
    20. Omar Hernando Avila-Poveda, 2014. "Technical report: the trend of author compound names and its implications for authorship identity identification," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 833-846, 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:129:y:2024:i:10:d:10.1007_s11192-024-05036-w. 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.