引入Altmetrics指标的掠夺性期刊识别研究

Predatory journal identification using Altmetrics metrics

【目的】探讨将Altmetrics指标应用于掠夺性期刊识别的效果,为掠夺性期刊的识别提供新视角。【方法】基于Logit回归模型,分别构造仅含平均被引频次、仅含Altmetrics存在率指标以及同时融合这两个指标的3个掠夺性期刊判别模型,并通过ROC曲线对3个模型的拟合效果进行比较。使用邀请投稿邮件中的期刊数据对模型效果进行验证。【结果】同时融合平均被引频次和Altmetrics存在率的掠夺性期刊判别模型效果最优,两个指标与期刊掠夺性均显著负相关。以使用邮件邀请投稿的14种期刊数据验证发现,超过85%的期刊被识别为掠夺性期刊,说明模型的合理性。【结论】Altmetrics指标在掠夺性期刊的识别中具有良好的效果,为掠夺性期刊识别提供有益补充。

[Purposes]This article explores the effect of introducing the Altmetrics index into the identification of predatory journals,so as to provide a new perspective 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 single average cited frequency,single presence rate of Altmetrics,and a combination of both indicators.The ROC curve was used to compare the fitting effects of the three models.Finally,journal data in invitation emails were used to validate the model effects.[Findings]The model integrating both average cited frequency and presence rate of Altmetrics performs the best for identifying predatory journals,with both indicators showing a significant negative correlation with journal predatoriness.Validation using the data from 14 journals in invitation emails shows that over 85%of them are identified as predatory journals by the model,demonstrating the rationality of the model.[Conclusions]The application of the Altmetrics metric has shown good results and provides valuable supplements in the identification of predatory journals.