基于检索特征的科技论文可信等级的评估方法

Assessment method of trust level for scientific papers based on retrieval features

期刊的影响因子、特征因子、h-指数等各种评价指标,为查找高质量的期刊提供了参考依据,但仍不全面,且存在不足。为此,基于传统检索特征,增加考虑期刊影响力随时间衰减的特性,突出和扩大对低影响力期刊的区分度,提出一个增强的论文综合评价公式,并通过算法形成论文的可信等级。最后,利用JCR统计的数据进行实例分析,并与期刊的影响因子、特征因子的排序进行比较,验证其有效性。

There are a variety of evaluations such like journal impact factor, the eigenfactor and h-index helping to find high- quality journals, but they are still not comprehensive. Based on the traditional retrieval features, this papere considered the journal impact＇ s attenuation characteristics over time, highlighted the degree of distinction between the low influential jour- nals, and proposed an enhanced paper evaluation formula and the algorithm to form the paper＇ s credibility rating. Finally, it used the JCR statistical data to do case analysis and compared with journal eigenfactor to check its effectiveness.