利用AMLC检测结果遴选审稿专家的实践  

Practice on peer reviewer selection of sci-tech journals based on the result of Academic Misconduct Literature Check(AMLC)

作　　者：边书京[1] 陆文昌[1] 张志钰[1] 杨锦莲[1] 

机构地区：[1]华中农业大学期刊社,武汉430070

出　　处：《编辑学报》2015年第6期567-568,共2页Acta Editologica

摘　　要：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。Academic Misconduct Literature Check（ AMLC） is a software used for checking content plagiarism upon receipt of the articles. Based on the checking results of AMLC,the editors may excavate the function of peer reviewer selection. In this paper,based on typical editorial cases,a new method for peer reviewer selection for sci- tech journals is introduced according to the corresponding author,adviser of graduate degree thesis,and big data analysis. Matters that need attention in selecting peer reviewers for sci- tech journals are discussed,hoping to provide an innovative way of peer reviewer selection for sci- tech journals.

关 键 词：学术不端文献检测系统 科技期刊 审稿专家 遴选 

分 类 号：G231[文化科学]