IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v103y2015i3d10.1007_s11192-015-1564-z.html
   My bibliography  Save this article

How is credit given to networking centres in their publications? A case study of the Spanish CIBER research structures

Author

Listed:
  • Fernanda Morillo

    (Spanish National Research Council (CSIC))

  • Rodrigo Costas

    (Leiden University)

  • María Bordons

    (Spanish National Research Council (CSIC))

Abstract

The emergence of new networking research organisations is explained by the need to promote excellence in research and to facilitate the resolution of specific problems. This study focuses on a Spanish case, the Biomedical Research Networking Centres (CIBER), created through a partnership of research groups, without physical proximity, who work on common health related issues. These structures are a great challenge for bibliometricians due to their heterogeneous composition and virtual nature. Therefore, the main objective of this paper is to assess different approaches based on addresses, funding acknowledgements and authors to explore which search strategy or combination is more effective to identify CIBER publications. To this end, we downloaded all the Spanish publications from the Web of Science databases, in the subject categories of Gastroenterology/Hepatology and Psychiatry during the period 2008–2011. Our results showed that, taken alone, the dataset based on addresses identified more than 60 % of all potential CIBER publications. However, the best outcome was obtained by combining it with additional datasets based on funding acknowledgements and on authors, recovering more than 80 % of all possible CIBER publications without losing accuracy. In terms of bibliometric performance, all the CIBER sets showed scores above the country average, thus proving the relevance of these virtual organisations. Finally, given the increasing importance of these structures and the fact that authors do not always mention their connection to CIBER, some recommendations are offered to develop clear policies on how, when and where to specify this relationship.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:scient:v:103:y:2015:i:3:d:10.1007_s11192-015-1564-z
    DOI: 10.1007/s11192-015-1564-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-015-1564-z
    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/s11192-015-1564-z?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. 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.
    2. Yong Jiang & Hai-Tao Zheng & Xinmin Wang & Binggan Lu & Kaihua Wu, 2011. "Affiliation disambiguation for constructing semantic digital libraries," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(6), pages 1029-1041, June.
    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. Laura Cruz-Castro & Luis Sanz-Menéndez & Catalina Martínez, 2012. "Research centers in transition: patterns of convergence and diversity," The Journal of Technology Transfer, Springer, vol. 37(1), pages 18-42, February.
    5. Fernanda Morillo & Ignacio Santabárbara & Javier Aparicio, 2013. "The automatic normalisation challenge: detailed addresses identification," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 953-966, June.
    6. Rank, Dennis & Williams, Douglas, 1999. "Partial benefit/cost in the evaluation of the Canadian Networks of Centres of Excellence," Evaluation and Program Planning, Elsevier, vol. 22(1), pages 121-129.
    7. Yong Jiang & Hai‐Tao Zheng & Xinmin Wang & Binggan Lu & Kaihua Wu, 2011. "Affiliation disambiguation for constructing semantic digital libraries," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(6), pages 1029-1041, June.
    8. Jon G. Garner & Alan L. Porter & Nils C. Newman & Todd A. Crowl, 2012. "Assessing research network and disciplinary engagement changes induced by an NSF program," Research Evaluation, Oxford University Press, vol. 21(2), pages 89-104, March.
    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.
    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. 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.
    2. Torger Möller & Marion Schmidt & Stefan Hornbostel, 2016. "Assessing the effects of the German Excellence Initiative with bibliometric methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2217-2239, December.

    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. 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.
    2. 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.
    3. 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.
    4. Fernanda Morillo & Adrián A. Díaz-Faes & Borja González-Albo & Luz Moreno, 2014. "Do networking centres perform better? An exploratory analysis in Psychiatry and Gastroenterology/Hepatology in Spain," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1401-1416, February.
    5. Fernanda Morillo, 2016. "Public–private interactions reflected through the funding acknowledgements," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1193-1204, September.
    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. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Andrea Ancona & Roy Cerqueti & Gianluca Vagnani, 2023. "A novel methodology to disambiguate organization names: an application to EU Framework Programmes data," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4447-4474, August.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Maria Cláudia Cabrini Grácio & Ely Francina Tannuri Oliveira & Zaida Chinchilla-Rodríguez & Henk F. Moed, 2020. "Does corresponding authorship influence scientific impact in collaboration: Brazilian institutions as a case of study," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1349-1369, November.
    17. 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.
    18. 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.
    19. 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.
    20. Mojisola Erdt & Aarthy Nagarajan & Sei-Ching Joanna Sin & Yin-Leng Theng, 2016. "Altmetrics: an analysis of the state-of-the-art in measuring research impact on social media," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1117-1166, November.

    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:103:y:2015:i:3:d:10.1007_s11192-015-1564-z. 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.