Two indicators rule them all:Mean and standard deviation used to calculate other journal indicators based on log-normal distribution of citation counts  

作　　者：Zhesi Shen Liying Yang Jinshan Wu 

机构地区：[1]National Science Library,Chinese Academy of Sciences,Beijing,China [2]School of Systems Science,Beijing Normal University,Beijing,China

出　　处：《Data Science and Informetrics》2023年第2期30-39,共10页数据科学与信息计量学（英文）

摘　　要：Two journal-level indicators,respectively the mean(mi)and the standard deviation(vi)are proposed to be the core indicators of each journal and we show that quite several other indicators can be calculated from those two core indicators,assuming that yearly citation counts of papers in each journal follow more or less a log-normal distribution.Those other journal-level indicators include journal index,journal one-by-one-sample comparison citation success index S_(j)^(i),journal multiple-sample K^(i)-K^(j) comparison success rate S_(j,k^(j)^(i,k^(i))),and minimum representative sizes k_(j)^(i) and k_(i)^(j),the average ranking of all papers in a journal in a set of journals(R^(t)).We find that those indicators are consistent with those calculated directly using the raw citation data({C^(i)=(c_(1)^(i),c_(2)^(j),...c_(N)^(i),■i})of journals.In addition to its theoretical significance,the ability to estimate other indicators from core indicators has practical implications.This feature enables individuals who lack access to raw citation count data to utilize other indicators by simply using core indicators,which are typically easily accessible.

关 键 词：Journal impact factor H-INDEX Minimum representative size log-normal distribution Ranking journals 

分 类 号：G237.5[文化科学] G353.1