【摘要】 为探讨单刊论文全时域(从创刊至现在)下载次数与被引次数两个变量之间的关系问题,在考虑原始数据概率密度分布的基础上,通过对原数据的合理变换,运用相关和线性回归方法,研究期刊论文下载次数与被引次数两个变量之间的关系问题.结果表明:(1)论文原始被引次数v与下载次数u之间没有明显的关系;(2)经变换,论文被引次数y与下载次数x呈正相关关系;(3)对数据再做适当处理后,论文被引次数y与平均下载次数x存在简单的线性关系,随着论文下载次数x增加,与之对应的论文被引次数y也随之而增加.更多还原

【Abstract】 Through the reasonable transformation of the original data on the basic of well understanding its probability density distribution,this thesis studied the relationship between the citations and the downloading times of periodical papers using correlation and liner regression methods.The relationship between the citations and the downloading times in full time domain of a single publication(from the first issue to now)was discussed.The result shows that:(1)There is no apparent relationship between the citations of original papers v and downloading times u;(2)The citations y has a positive correction with downloading times x via data transformation;(3)After the advanced proper processing on the data,the citations y and the average downloading times shows nearly liner relationship.With the downloading times increasing,the corresponding citations y also increases.更多还原