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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
【摘要】 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。
【Abstract】 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 journals,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.
【Key words】 scientific papers; retrieval features; trust level; comprehensive assessment;
- 【文献出处】 计算机应用研究 ,Application Research of Computers , 编辑部邮箱 ,2013年03期
- 【分类号】TP391.3;G350
- 【被引频次】2
- 【下载频次】77