关于能源与影响指标的反驳
A Rejoinder on Energy versus Impact Indicators
摘要:
引用分布是如此的倾斜,以至于使用平均值或任何其他集中趋势测量都是不明智的。与G. Prathap的标量测量(能量,火用和熵或熵),综合影响指标(I3)是基于非参数统计,使用分布的(100)个单位。观察到的值可以与预期值进行测试;影响可以在文章一级进行限定,然后进行汇总。
英文摘要:
Citation distributions are so skewed that using the mean or any other central tendency measure is ill-advised. Unlike G. Prathap's scalar measures (Energy, Exergy, and Entropy or EEE), the Integrated Impact Indicator (I3) is based on non-parametric statistics using the (100) percentiles of the distribution. Observed values can be tested against expected ones; impact can be qualified at the article level and then aggregated.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。