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Open AccessCommunication
Publications 2017, 5(3), 18; doi:10.3390/publications5030018

Measurement of Similarity in Academic Contexts

1
Young Researchers and Elite Club, Mashhad Branch, Islamic Azad University, Mashhad 9187147578, Iran
2
Department of Radiation Oncology, Regensburg University Medical Center, D93053 Regensburg, Germany
3
LGCGM, Equipe Matériaux et Thermo-Rhéologie, Université Rennes 1, 35000 Rennes, France
4
Fluid Mechanics, Thermal Engineering and Multiphase Flow Research Laboratory (FUTURE Lab.), Department of Mechanical Engineering, King Mongkut’s University of Technology Thonburi, Bangmod, Bangkok 10140, Thailand
5
School of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, UK
6
Department of Industrial Engineering, University of Parma, 43124 Parma, Italy
7
Heat and Thermodynamics Division, Department of Mechanical Engineering, Yildiz Technical University, Yildiz, Besiktas, Istanbul 34349, Turkey
8
National Taipei University of Technology, Taipei 10608, Taiwan
9
Mechanical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia
*
Author to whom correspondence should be addressed.
Academic Editor: Alan Singleton
Received: 2 March 2017 / Accepted: 19 June 2017 / Published: 22 June 2017
View Full-Text   |   Download PDF [177 KB, uploaded 22 June 2017]

Abstract

We propose some reflections, comments and suggestions about the measurement of similar and matched content in scientific papers and documents, and the need to develop appropriate tools and standards for an ethically fair and equitable treatment of authors. View Full-Text
Keywords: similarity; plagiarism; standards similarity; plagiarism; standards
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Mahian, O.; Treutwein, M.; Estellé, P.; Wongwises, S.; Wen, D.; Lorenzini, G.; Dalkilic, A.S.; Yan, W.-M.; Sahin, A.Z. Measurement of Similarity in Academic Contexts. Publications 2017, 5, 18.

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