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A Computer-Aided Bibliometric System to Generate Core Article Ranked Lists in Multidisciplinary Subjects

机译:一种计算机辅助的伯格计量系统,用于在多学科主题中生成核心文章排名列表

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Due to the tremendous increase and variation in serial publications, the impact of paper to multidisciplinary subjects is becoming more variable. While scholars are finding it impossible to update their core paper ranked lists regularly and accurately. The evaluation of papers becomes a very challenging task. Four indicators were proposed to generate a subject core article ranking list. The TP patterns which were found are that all TPs were located at the 3rd segment for all subjects. The TC Ratios are all about 0.2. This study found that all TPs from different subjects were all located at the 1st segment. Both TC Ratios and TP Angles are close to the experimental results from STCC indicator. The patterns of TC Ratios and TP Angles are 0.2 and 70. In addition, both SRCC and STCC can get more than 0.7 and 0.9 correlation factors with SRPI/SRCH and STPI/STCH. SRCC/SRPI/SRCH has more than 0.72 correlation factors with 'Google Scholar'. The experimental results show that indicators were measured to be at an acceptable level.
机译:由于串行出版物的巨大增加和变化,纸张对多学科对象的影响变得更加变量。虽然学者发现不可能定期更新他们的核心纸张列表。论文的评估​​成为一个非常具有挑战性的任务。建议四个指标生成主题核心条款排名列表。发现的TP模式是所有TPS位于所有受试者的第3段。 TC比率全约0.2。本研究发现,来自不同受试者的所有TPS都位于第一个段。 TC比率和TP角度均接近STCC指示器的实验结果。 TC比率和TP角度的图案为0.2和70.此外,SRCC和STCC都可以通过SRPI / SRCH和STPI / STCH获得多于0.7和0.9个相关因子。 SRCC / SRPI / SRCH具有超过0.72个“谷歌学者”的相关因素。实验结果表明,测量指标是可接受的水平。

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