一种基于SCI分区的新系数算法对不同学科间论文评价方法探讨

Exploration on an evaluation method to different disciplines with new coefficient algorithm based on SCI partition

摘要:

学术论文评价中不同学科间存在的差异一直是困扰科研机构进行论文质量评价的一个问题。因此，针对不同学科间的学术期刊建立一种兼顾科学性与实操性的评价方法显得尤为重要。基于此，我们以中科院SCI分区为基础，通过最高系数、基准系数调整计算P值，减小因学科分布不均导致的评价差异，建立了一种科学的评价方法。该方法可以有效地纠正不同学科期刊间影响因子的差异，从而为科学公平地评价不同期刊、反映科研成果的价值提供了科学的评价方法。

Abstract:

To the problem of neglecting the differences of disciplines on the evaluation of academic papers, a method of scoring the scientific journals on scientific and practical performance is necessary to be developed. Based on the SCI segment of the Chinese Academy of Sciences, this paper calculates the P value by adjusting the highest coefficient and the reference coefficient to reduce the difference caused by the uneven distribution of the disciplines. This method can effectively correct the neglect of the differences on influencing factors in different subjects, so as to provide a way for scientific evaluation of journals and indirect evaluation of scientific research papers to reflect scientific research achievements.