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对何文用文献密度差ΔM 值表示核心效应强度的统计方法提出质疑,认为应该用文献密度率(或文献聚散度,ΔM_n)表示较为恰当。当 M_2→(趋向于)M_1时,则ΔM_n→0(集聚区趋向消失,文献呈均匀分布);当 M_2→(趋向于)0时,则ΔM_n→1(离散区趋向消失,文献呈集聚分布),ΔM_n 的值在0～1之间。依此分别计算出12个学科的各ΔM_n 值和12个学科被索量、被摘量、被引量的总ΔM_n 值与ΔM 值和总ΔM 值比较以说明问题。并认为核心期刊评价指标权重值的赋予受多因素的影响,核心效应强度可以作为一项补充。
He Wen questioned the statistical method of expressing the core effect strength by the difference of document density value, and suggested that it should be more appropriate to use the literature density (or vergence, ΔM_n). When M_2 → (tends to) M_1, ΔM_n → 0 (the trend of convergence disappears and the literature shows a uniform distribution); when M_2 → (tends to) 0, ΔM_n → 1 ), The value of ΔM_n is between 0 and 1. According to this, the respective ΔM_n values and 12 subjects’ quests of 12 subjects were calculated respectively, and the total ΔM_n values of the cited subjects were compared with ΔM values and total ΔM values to illustrate the problem. And think that the evaluation of the core journals evaluation index given by the number of factors, the core effect of strength can be used as a supplement.