Citation Count Is Not Enough: Citation's Context-Based Scientific Impact Evaluation

被引:0
|
作者
Daud, Ali [1 ]
Ghaffar, Sehrish [2 ]
Amjad, Tehmina [3 ]
机构
[1] Abu Dhabi Sch Management, Abu Dhabi, U Arab Emirates
[2] Int Islamic Univ, Islamabad 44000, Pakistan
[3] Int Islamic Univ, Dept Comp Sci & Software Engn, Islamabad 44000, Pakistan
关键词
Sentiment analysis; Task analysis; Blogs; Software; Social networking (online); Protocols; Prediction algorithms; Article ranking; citation context; conflict of interest; context-based article impact factor (CBAIF); impact evaluation; sentiment analysis; SENTIMENT ANALYSIS; RANKING AUTHORS;
D O I
10.1109/TCSS.2022.3193508
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Qualitative analysis of citations received by a scientific manuscript is a challenging task in the field of citation analysis. In most cases, the existing approaches that involve citations for the scientific impact evaluation normally employ a quantitative parameter, such as the number of received citations, while ignoring the qualitative feature, such as the context of citations, while, in reality, a received citation might hold positive feedback and negative or neutral feedback. In this study, a measure is purposed for the scientific evaluation of the articles based on the context of the citations named the context-based article impact factor (CBAIF). CBAIF not only considers the positive, negative, or neutral context of the citations but also involves the citing and cited author's conflict-of-interest relationship for the evaluation of their scientific impact. With the help of experimentation, it is observed that CBAIF performs a fair ranking of articles based on citation's context, whether it is cited positively or being criticized by some authors. Experimental results show that the CBAIF value with the context of citations revealed accurate results rather than the article impact factor (AIF) value without the context of citations.
引用
收藏
页码:4567 / 4573
页数:7
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