%0 Journal Article
%T Assessment method of trust level for scientific papers based on retrieval features<br>基于检索特征的科技论文可信等级的评估方法
%A ZHOU Jing
%A ZENG Guo-sun
%A ZENG Yuan
%A <br>周　静
%A 曾国荪
%A 曾　媛
%J 计算机应用研究
%D 2013
%I 
%X 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.
%K scientific papers
%K retrieval features
%K trust level
%K comprehensive assessment<br>科技论文
%K 检索特征
%K 可信等级
%K 综合评估
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=57319E4289F4438FFE23A782A7661E90&yid=FF7AA908D58E97FA&vid=340AC2BF8E7AB4FD&iid=38B194292C032A66&sid=45D68DF69BA881EC&eid=8A03DD854A27B60D&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=16