Potential Predictibility of References in the Identification of Derivative Articles from Doctoral Theses
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Date
2015-03-12
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Journal ISSN
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Publisher
INFLIBNET Centre
Abstract
This paper reports the results obtained on the predictability of references for the identification of derivative
articles from doctoral theses, based on a sample of 68 medical theses and 334 articles published by the same
theses authors. The study performs an analysis of the common references shared by theses and articles
through a text similarity approach. A textual similarity comparison is carried out with the discursive
sections of articles (Introduction, Methodology, Results and Discussion) based on the full-text of theses and
articles. The results suggest that the Reference section has a high sensitivity to detect true positives cases and
a low specificity to identify negative cases, corresponding to a high recall a low precision in the detection of
derivative articles.
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Keywords
Derivative Articles, Doctoral Theses, Cluster Analysis Methodology