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Knowledge Production in Two Types of Medical PhD Routes—What’s to Gain?

Author

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  • Andrada Elena Urda-Cîmpean

    (Department of Medical Informatics and Biostatistics, Faculty of Medicine, “Iuliu Haţieganu” University of Medicine and Pharmacy, Cluj-Napoca 400012, Romania)

  • Sorana D. Bolboacă

    (Department of Medical Informatics and Biostatistics, Faculty of Medicine, “Iuliu Haţieganu” University of Medicine and Pharmacy, Cluj-Napoca 400012, Romania)

  • Andrei Achimaş-Cadariu

    (Department of Medical Informatics and Biostatistics, Faculty of Medicine, “Iuliu Haţieganu” University of Medicine and Pharmacy, Cluj-Napoca 400012, Romania)

  • Tudor Cătălin Drugan

    (Department of Medical Informatics and Biostatistics, Faculty of Medicine, “Iuliu Haţieganu” University of Medicine and Pharmacy, Cluj-Napoca 400012, Romania)

Abstract

Purpose : To assess the assumption that differences exist between the traditional and publication-based PhD routes in terms of the thesis’ length and the scientific publications originating from it. Method : A retrospective comparative study on medical PhD theses offered by an online repository was performed. All free full-text medical PhD theses defended at United Kingdom institutions between 2003 and 2015 were analyzed and assigned to the traditional (TT) or publication based thesis (PBT) group. Several characteristics of theses and thesis-related articles were collected and analyzed. The thesis-related articles were investigated regarding quantity and visibility (citations, impact factor, and journal rank). Results : The theses length proved similar in PBT and TT group. PBT group included significantly more studies than TT group (mean 4.44 vs. 2.67) also reflected in significantly more thesis-related articles. The percentage of articles listed in Web of Science and published in a journal with impact factor proved significantly lower in TT compared with PBT group. On the contrary, article citations were significantly higher for TT. Both groups published similarly in high-ranked journals (Q1 or Q2). Conclusion : The research productivity originating from the PBT group was, as expected, significantly larger but not significantly more visible than those from TT group.

Suggested Citation

  • Andrada Elena Urda-Cîmpean & Sorana D. Bolboacă & Andrei Achimaş-Cadariu & Tudor Cătălin Drugan, 2016. "Knowledge Production in Two Types of Medical PhD Routes—What’s to Gain?," Publications, MDPI, vol. 4(2), pages 1-16, June.
    • Handle: RePEc:gam:jpubli:v:4:y:2016:i:2:p:14-:d:71683
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    References listed on IDEAS

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    1. Pinheiro, Diogo & Melkers, Julia & Youtie, Jan, 2014. "Learning to play the game: Student publishing as an indicator of future scholarly success," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 56-66.
    2. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2014. "How do you define and measure research productivity?," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1129-1144, November.
    3. Mercedes Echeverria & David Stuart & Tobias Blanke, 2015. "Medical theses and derivative articles: dissemination of contents and publication patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 559-586, January.
    4. Malen Hollmann & Carme Borrell & Olatz Garin & Esteve Fernández & Jordi Alonso, 2015. "Factors influencing publication of scientific articles derived from masters theses in public health," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 60(4), pages 495-504, May.
    5. Carole J. Lee & Cassidy R. Sugimoto & Guo Zhang & Blaise Cronin, 2013. "Bias in peer review," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 2-17, January.
    6. Katarina Prpić, 2000. "The Publication Productivity of Young Scientists: An Empirical Study," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(3), pages 453-490, November.
    7. Carole J. Lee & Cassidy R. Sugimoto & Guo Zhang & Blaise Cronin, 2013. "Bias in peer review," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(1), pages 2-17, January.
    8. Don Schauder, 1994. "Electronic publishing of professional articles: Attitudes of academics and implications for the scholarly communication industry," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 45(2), pages 73-100, March.
    9. Wendy A. Stock & John J. Siegfried, 2013. "One Essay on Dissertation Formats in Economics," American Economic Review, American Economic Association, vol. 103(3), pages 648-653, May.
    10. Peng Dong & Marie Loh & Adrian Mondry, 2006. "Publication lag in biomedical journals varies due to the periodical's publishing model," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(2), pages 271-286, November.
    11. Peder Olesen Larsen & Markus Ins, 2010. "The rate of growth in scientific publication and the decline in coverage provided by Science Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 575-603, September.
    12. Nils T. Hagen, 2010. "Deconstructing doctoral dissertations: how many papers does it take to make a PhD?," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 567-579, November.
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