引入Altmetrics指标的掠夺性期刊识别研究

Purposes This article explores the effect of introducing&nbsp;the Altmetrics index into the identification of predatory journals,&nbsp;in order to provide a new perspectives for the identification of predatory journals. Methods Based on the logit regression model, three models for the identification of predatory journals were constructed using the average number of citations alone, the presence rate of altmetrics alone, and a combination of both indicators.&nbsp;The ROC curve was used to compare and analyze the fitting effects of the three models. Finally, journal data in invitation emails were used to validate the model effects. Findings The model&nbsp;integrating both average citations and Altmetrics existence rate performed the best for identifying predatory journals. with both indicators showing significant negative correlation&nbsp;with journal predatoriness.&nbsp;Validation using the data from 14 journals that sent out solicitation emails showed that over 85% of them were identified as predatory journals by the model, demonstrating the rationality of the model. Conclusions The application of the Altmetrics metric has shown good results&nbsp;and provides valuable new perspectives in the identification of the predatory journals.<br />&nbsp;