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基于多元线性回归模型,借助SPSS统计软件,以《长安大学学报(自然科学版)》(以下简称《学报》)为例,系统研究了《学报》2002—2010年论文出版两年内的被引频次与该论文第一作者年龄及职称和学历、第一单位类别、作者数、项目级别、学科范围、页数、参考文献数等因素的关系,建立被引频次与上述变量的最优多元线性回归方程,探讨影响论文被引频次的因素,减少编辑的一些非理性决策,使科技期刊编辑决策更加科学和合理。
Based on multivariate linear regression model and SPSS statistical software, taking “Journal of Chang’an University (Natural Science Edition)” (hereinafter referred to as “Journal”) as an example, this paper systematically studies the citation frequency of dissertations published in 2002-2010 The paper establishes the optimal multivariate linear regression between the cited frequency and the above variables with the relationship among the first author’s age and title and academic qualifications, the first unit type, the number of authors, the level of the project, the scope of the subject, the number of pages, the number of reference documents, This paper discusses the factors influencing the cited times of the essay, reduces some irrational decisions made by editors, and makes the editorial decisions of sci-tech periodicals more scientific and reasonable.