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Scientometrics

, Volume 102, Issue 1, pp 559–586 | Cite as

Medical theses and derivative articles: dissemination of contents and publication patterns

  • Mercedes EcheverriaEmail author
  • David Stuart
  • Tobias Blanke
Article

Abstract

Doctoral theses are an important source of publication in universities, although little research has been carried out on the publications resulting from theses, on so-called derivative articles. This study investigates how derivative articles can be identified through a text analysis based on the full-text of a set of medical theses and the full-text of articles, with which they shared authorship. The text similarity analysis methodology applied consisted in exploiting the full-text articles according to organization of scientific discourse IMRaD (Introduction, Methodology, Results and Discussion) using the TurnItIn plagiarism tool. The study found that the text similarity rate in the Discussion section can be used to discriminate derivative articles from non-derivative articles. Additional findings were: the first position of the thesis’s author dominated in 85 % of derivative articles, the participation of supervisors as coauthors occurred in 100 % of derivative articles, the authorship credit retained by the thesis’s author was 42 % in derivative articles, the number of coauthors by article was 5 in derivative articles versus 6.4 coauthors, as average, in non-derivative articles and the time differential regarding the year of thesis completion showed that 87.5 % of derivative articles were published before or in the same year of thesis completion.

Keywords

Derivative articles Cluster analysis methodology Medical theses Coauthorship Theses supervisors 

Notes

Acknowledgments

The authors acknowledge the assistance and suggestions of José Javier Sánchez-Hernández, Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autonoma de Madrid, Spain.

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Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2014

Authors and Affiliations

  • Mercedes Echeverria
    • 1
    Email author
  • David Stuart
    • 2
  • Tobias Blanke
    • 2
  1. 1.Library of the Universidad Autonoma de MadridMadridSpain
  2. 2.Centre for E-ResearchKing’s College LondonLondonUK

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