学术不端文献检测系统(AMLC)是期刊编辑初审稿件时查新查重的检测系统软件,在其查重查新功能基础上,编辑可挖掘其潜在的遴选审稿专家的功能。文章借助AMLC检测结果,以典型的编辑实例,介绍依据查重文献通信作者、研究生学位论文导师、大数据分析,遴选合适审稿专家新方法,探索一条适合“互联网+”的遴选审稿专家新途径,并提出依托AMLC检测结果遴选审稿专家的注意事项。 The Academic Misconduct Document Detection System (AMLC) is a software system for checking and checking new documents when a journal editor examines a manuscript. On the basis of its new function of checking and examining, the editor can tap the functions of its potential selection and review experts. Based on the AMLC test results and typical editing examples, this paper presents a new method based on the investigation of authors, postgraduate tutors, big data analysis and selection of appropriate reviewers to explore a suitable peer reviewer for “Internet +” Experts and new ways, and put forward the reliance on AMLC test results to select reviewers of the precautions.