IDEAS home Printed from https://ideas.repec.org/a/eee/infome/v16y2022i2s1751157722000372.html
   My bibliography  Save this article

Investigating the mentorship effect on the academic success of young scientists: An empirical study of the 985 project universities of China

Author

Listed:
  • Shang, Jing
  • Zeng, Mingbin
  • Zhang, Gupeng

Abstract

This study intends to uncover the mentorship effect by investigating the impact of mentors’ academic titles and research performance on the academic success of young scientists. Drawing on the data of chemical scientists from China's 985 project universities, we demonstrate that the probability of young scientists acquiring academic success increases if their mentors are qualified Chinese Academy of Sciences (CAS) or Chinese Academy of Engineering (CAE) academicians. However, this positive effect may be insignificant or negative for improved academic performance. Additionally, the role of the mentors’ research performance in moderating the relationship between the young scientists' research performance and the probability of acquiring an academic title is not significant and may even be negative. Remarkably, our empirical results suggest that mentors with a CAS or CAE academician title and an increase of the young scientists’ H-index by 20 have equal effects on the probability that young scientists win an Excellent title. This raises concerns about the mentorship effect in China. The results have solid practical implications that are clarified at the end of this research.

Suggested Citation

  • Shang, Jing & Zeng, Mingbin & Zhang, Gupeng, 2022. "Investigating the mentorship effect on the academic success of young scientists: An empirical study of the 985 project universities of China," Journal of Informetrics, Elsevier, vol. 16(2).
  • Handle: RePEc:eee:infome:v:16:y:2022:i:2:s1751157722000372
    DOI: 10.1016/j.joi.2022.101285
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1751157722000372
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.joi.2022.101285?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. Nicola Curtin & Janet Malley & Abigail J. Stewart, 2016. "Mentoring the Next Generation of Faculty: Supporting Academic Career Aspirations Among Doctoral Students," Research in Higher Education, Springer;Association for Institutional Research, vol. 57(6), pages 714-738, September.
    2. H. Eren SUNA & Hande TANBERKAN & Bekir S. GÜR & Matjaz PERC & Mahmut ÖZER, 2020. "Socioeconomic Status and School Type as Predictors of Academic Achievement," Journal of Economy Culture and Society, Istanbul University, Faculty of Economics, vol. 61(0), pages 41-64, June.
    3. Patrick Gaulé & Mario Piacentini, 2013. "Chinese Graduate Students and U.S. Scientific Productivity," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 698-701, May.
    4. Ulrike Busolt & Kordula Kugele, 2009. "The gender innovation and research productivity gap in Europe," International Journal of Innovation and Sustainable Development, Inderscience Enterprises Ltd, vol. 4(2/3), pages 109-122.
    5. Rodrigo Costas & Thed N. van Leeuwen & María Bordons, 2010. "A bibliometric classificatory approach for the study and assessment of research performance at the individual level: The effects of age on productivity and impact," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(8), pages 1564-1581, August.
    6. Amin Mazloumian & Young-Ho Eom & Dirk Helbing & Sergi Lozano & Santo Fortunato, 2011. "How Citation Boosts Promote Scientific Paradigm Shifts and Nobel Prizes," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-6, May.
    7. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2015. "Should the research performance of scientists be distinguished by gender?," Journal of Informetrics, Elsevier, vol. 9(1), pages 25-38.
    8. Julia H. Chariker & Yihang Zhang & John R. Pani & Eric C. Rouchka, 2017. "Identification of successful mentoring communities using network-based analysis of mentor–mentee relationships across Nobel laureates," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1733-1749, June.
    9. Jeevan Jyoti & Poonam Sharma, 2015. "Impact of Mentoring Functions on Career Development: Moderating Role of Mentoring Culture and Mentoring Structure," Global Business Review, International Management Institute, vol. 16(4), pages 700-718, August.
    10. Brendan Maher & Miquel Sureda Anfres, 2016. "Young scientists under pressure: what the data show," Nature, Nature, vol. 538(7626), pages 444-444, October.
    11. Bornmann, Lutz & Mutz, Rüdiger & Hug, Sven E. & Daniel, Hans-Dieter, 2011. "A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants," Journal of Informetrics, Elsevier, vol. 5(3), pages 346-359.
    12. Rodrigo Costas & Thed N. van Leeuwen & María Bordons, 2010. "A bibliometric classificatory approach for the study and assessment of research performance at the individual level: The effects of age on productivity and impact," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(8), pages 1564-1581, August.
    13. Burt, Ronald S. & Burzynska, Katarzyna, 2017. "Chinese Entrepreneurs, Social Networks, and Guanxi," Management and Organization Review, Cambridge University Press, vol. 13(2), pages 221-260, June.
    14. Michael C. Wendl, 2007. "H-index: however ranked, citations need context," Nature, Nature, vol. 449(7161), pages 403-403, September.
    15. Gupeng Zhang & Libin Xiong & Xiao Wang & Jianing Dong & Hongbo Duan, 2020. "Artificial selection versus natural selection: Which causes the Matthew effect of science funding allocation in China?," Science and Public Policy, Oxford University Press, vol. 47(3), pages 434-445.
    16. H. Eren SUNA & Hande TANBERKAN & Bekir S. GÜR & Matjaz PERC & Mahmut ÖZER, 2020. "Socioeconomic Status and School Type as Predictors of Academic Achievement," Journal of Economy Culture and Society, Istanbul University, Faculty of Economics, vol. 61(1), pages 41-64, June.
    17. Vedran Sekara & Pierre Deville & Sebastian E. Ahnert & Albert-László Barabási & Roberta Sinatra & Sune Lehmann, 2018. "The chaperone effect in scientific publishing," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(50), pages 12603-12607, 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. Lutz Bornmann & Werner Marx, 2014. "How to evaluate individual researchers working in the natural and life sciences meaningfully? A proposal of methods based on percentiles of citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 487-509, January.
    2. Vîiu, Gabriel-Alexandru, 2017. "Disaggregated research evaluation through median-based characteristic scores and scales: a comparison with the mean-based approach," Journal of Informetrics, Elsevier, vol. 11(3), pages 748-765.
    3. Panagopoulos, George & Tsatsaronis, George & Varlamis, Iraklis, 2017. "Detecting rising stars in dynamic collaborative networks," Journal of Informetrics, Elsevier, vol. 11(1), pages 198-222.
    4. Marek Kwiek & Wojciech Roszka, 2022. "Academic vs. biological age in research on academic careers: a large-scale study with implications for scientifically developing systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3543-3575, June.
    5. Rodrigo Costas & María Bordons, 2011. "Do age and professional rank influence the order of authorship in scientific publications? Some evidence from a micro-level perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 145-161, July.
    6. Claus-Christian Carbon, 2011. "The Carbon_h-Factor: Predicting Individuals' Research Impact at Early Stages of Their Career," PLOS ONE, Public Library of Science, vol. 6(12), pages 1-7, December.
    7. Rodrigo Costas & Thed N. Leeuwen & María Bordons, 2012. "Referencing patterns of individual researchers: Do top scientists rely on more extensive information sources?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2433-2450, December.
    8. Giancarlo Ruocco & Cinzia Daraio, 2013. "An empirical approach to compare the performance of heterogeneous academic fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 601-625, December.
    9. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2011. "National-scale research performance assessment at the individual level," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 347-364, February.
    10. Wildgaard, Lorna, 2016. "A critical cluster analysis of 44 indicators of author-level performance," Journal of Informetrics, Elsevier, vol. 10(4), pages 1055-1078.
    11. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2012. "The dispersion of research performance within and between universities as a potential indicator of the competitive intensity in higher education systems," Journal of Informetrics, Elsevier, vol. 6(2), pages 155-168.
    12. Giovanni Abramo & Ciriaco Andrea D’Angelo & Francesco Rosati, 2014. "Relatives in the same university faculty: nepotism or merit?," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 737-749, October.
    13. Jonas Lindahl & Cristian Colliander & Rickard Danell, 2020. "Early career performance and its correlation with gender and publication output during doctoral education," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 309-330, January.
    14. Ioana Alexandra Horodnic & Adriana Zaiţ, 2015. "Motivation and research productivity in a university system undergoing transition," Research Evaluation, Oxford University Press, vol. 24(3), pages 282-292.
    15. Xingchen Li & Qiang Wu & Yuanyuan Liu, 2017. "A quantitative analysis of researcher citation personal display considering disciplinary differences and influence factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1093-1112, November.
    16. João M. Santos & Hugo Horta, 2015. "The generational gap of science: a dynamic cluster analysis of doctorates in an evolving scientific system," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 381-406, July.
    17. , Aisdl, 2021. "Top economics universities and research institutions in Vietnam: evidence from the SSHPA dataset," OSF Preprints xvnkj, Center for Open Science.
    18. Lucy Amez, 2012. "Citation measures at the micro level: Influence of publication age, field, and uncitedness," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1459-1465, July.
    19. Hayri Eren Suna & Mahmut Ozer & Sadri Sensoy & Bekir Siddik Gur & Selahattin Gelbal & Petek Aşkar, 2021. "Determinants of Academic Achievement in Turkey," Journal of Economy Culture and Society, Istanbul University, Faculty of Economics, vol. 64(64), pages 143-162, December.
    20. Walter Pérez Villa & Amaya Pérez-Ezcurdia & Miguel Angel Vigil Berrocal, 2022. "Tacit Contributions and Roles of Senior Researchers: Experiences of a Multinational Company," Administrative Sciences, MDPI, vol. 12(4), pages 1-18, 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:eee:infome:v:16:y:2022:i:2:s1751157722000372. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/joi .

    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.