摘要：

【目的】 报告应用源文献挖掘方法从低复制比投稿中筛查出的抄袭论文的特点,并详细介绍这一筛查方法,为期刊编辑认识和筛查这类抄袭论文提供借鉴。【方法】 选择近3年《山东医药》的来稿中AMLC检测复制比<20%的2421篇论文,应用源文献挖掘方法,先常规检索所有论文的中、英文题名,进一步对有可疑指征的论文进行重点筛查。从各数据库中检出可疑源文献后,与投稿论文进行全文比对,查证是否存在抄袭。【结果】 共查证得到存在确凿证据的抄袭论文30篇,分别为抄袭他人9篇、抄袭团队10篇和自我抄袭11篇。其中19篇(63.3%)抄袭论文的源文献通过中、英文题名检出,11篇(36.7%)的源文献通过对可疑论文的重点筛查检出。【结论】 低复制比的投稿论文中仍存在多种类型的抄袭论文,查重后再进行抄袭筛查是必要的;应用源文献挖掘方法有助于检出雷同源文献进而查证抄袭。

关键词: 医学期刊, 学术不端, 抄袭, 审稿, 低复制比, 文献检索, 源文献

Abstract:

[Purposes] This paper aims to report the characteristic of plagiarism papers with low copy-ratio using the source literature mining methods, and to introduce the proposed method for journal editors in order to recognize and screen such plagiarism manuscripts. [Methods] A total of 2421 manuscripts submitted to Shandong Medical Journal in the past three years were selected, all of which were detected by AMLC, and the copy-ratio was less than 20%. The source literature mining method was applied in the manuscript review. The Chinese and English titles of all manuscripts were routinely retrieved, and then the manuscripts with suspicious indications were emphatically screened. When checking out the suspicious source literature from database, the full text was compared with the source literature to verify whether there is plagiarism. [Findings] A total of 30 plagiarism manuscripts with solid evidence are verified, including 9 papers plagiarizing other authors, 10 papers plagiarizing teams, and 11 papers plagiarizing themselves. Among them, 19 (63.3%) plagiarism manuscripts with the source literatures are identified by the retrieval of Chinese and English titles, and 11 (36.7%) are identified by the screening of suspicious manuscripts. [Conclusions] There are still many types of plagiarism manuscripts in those with low copy-ratio, so it is necessary to conduct plagiarism screening in reviewing. The application of source literature mining method is helpful to detect the source literature and verify plagiarism.

Key words: Medical journal, Academic misconduct, Plagiarism, Manuscript review, Low copy-ratio, Literature retrieval, Source literature