Amongst the various forms of scientific misconduct, plagiarism has become increasingly prevalent in today's scientific process. Plagiarism is copying another author's ideas or words and portraying them as your own. Inclusion of another source's contents without giving credit to the source results in this unethical practice. Text derived directly from a source must always be put under quotation marks. Decreased awareness about plagiarism and what exactly constitutes it results in unintentional plagiarism. Plagiarism can be that of the ideas in which the author projects others' ideas as his own. It can also be that of the text also known as word to word plagiarism. Mosaic plagiarism is another form. Various guidelines formulated by esteemed scientific bodies such as World Association of Medical Editors, Committee on publication Ethics have provided an insight to authors, editors, publishers and peer reviewers into the practice of ethical writing. By understanding the true essence of plagiarism and following strict guidelines, it is certainly possible to avoid plagiarism. Various softwares are available to detect plagiarism. These softwares have a wide database which is scanned to reveal any kind of malpractice. If detected, it can have grave consequences causing not only retraction of the article but also loss of dignity. Failure to detect plagiarism reflects negatively on a journal. Originality is the true essence of any research or scientific paper. Any violation of this fact is an unforgivable offence. Thus, this review article attempts to cover the meaning, types, risks and ways to avoid plagiarism.
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http://dx.doi.org/10.1007/s12663-014-0705-x | DOI Listing |
Environ Res
January 2025
Department of Environmental Engineering, Kyungpook National University, Daegu, South Korea.
This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/locate/withdrawalpolicy).
View Article and Find Full Text PDFClin Otolaryngol
January 2025
Department of Otolaryngology-Head & Neck Surgery, Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA.
Objectives: To gain insight into the integrity of research in Otolaryngology-Head & Neck Surgery (OHNS) literature through characterising retracted articles, analysing the reason for their retraction, and the trends in the collected data.
Methods: Pubmed, Embase, and Retraction Watch Database were queried for retracted articles published between the dates of 1/31/92 and 9/30/22. Articles with titles relating to OHNS subjects and published in OHNS journals, as determined by Scimago Journal and Country Ranking, were selected for further analysis.
Minerva Dent Oral Sci
January 2025
Department of Medicine and Surgery, Center of Dentistry, University of Parma, Parma, Italy.
Introduction: The number of retracted articles in the bio-medical field, including dentistry, is increasing. The objective of this study was to identify retracted articles in endodontic-related literature and outline their main characteristics.
Evidence Acquisition: The Medline and Scopus databases were searched in January 2024.
Vox Sang
January 2025
Vitalant Corporate Medical Affairs, Scottsdale, Arizona, USA.
Background And Objectives: Artificial intelligence (AI) has been gaining increasing interest in healthcare. During the 2024 International Society of Blood Transfusion (ISBT) Congress, the Clinical Transfusion Working Party (CTWP) conducted a session to explore the exciting intersection of AI in transfusion medicine (TM) practice, education and research. We report here the potential applications and the session outcome.
View Article and Find Full Text PDFATS Sch
December 2024
Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Large language models are becoming ubiquitous in the editing and generation of written content and are actively being explored for their use in medical education. The use of artificial intelligence (AI) engines to generate content in academic spaces is controversial and has been meet with swift responses and guidance from academic journals and publishers regarding the appropriate use or disclosure of use of AI engines in professional writing. To date, there is no guidance to applicants of graduate medical education programs in using AI engines to generate application content-primarily personal statements and letters of recommendation.
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