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Title: Potential Predictibility of References in the Identification of Derivative Articles from Doctoral Theses
Authors: Echeverria, Mercedes
Stuart, David
Blanke, Tobias
Keywords: Derivative Articles
Doctoral Theses
Cluster Analysis Methodology
Issue Date: 12-Mar-2015
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.
ISBN: 978-93-81232-05-7
Appears in Collections:CALIBER 2015: Shimla,HP

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