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出 处:《情报科学》2018年第2期53-57,共5页Information Science
摘 要:【目的/意义】为了定量分析学术期刊影响力的影响因素,针对目前研究方法的不足,引进偏最小二乘回归(PLSR)模型进行研究。【方法/过程】以图书情报类期刊为研究样本,构建期刊影响力影响因素指标体系,利用期刊影响力指数表征期刊影响力,建立单因变量PLSR模型并采用VIP值衡量各影响因素的重要程度。【结果/结论】实证结果表明:复合总被引、五年影响因子和他引影响因子是排名前三的重要因素;即年指标和平均引文数不是主要因素;可被引文献量、可被引文献比和被引半衰期的影响作用十分微弱。研究指出,在对期刊影响力与其影响因素之间的关系进行研究时,应该注重样本特异点的筛选。[Purpose/significance] In order to quantitatively analyze the influencing factors of the academic journals influence, this paper puts forward the partial least squares regression (PLSR) model to overcome the shortcomings of current research methods. [Method/process] In this paper, it takes library and information science journals as the research sample. Firstly, it constructs the index system of influencing factors of journal influence. Then, it uses the academic journal clout index to express the journal influence and the simple partial least squares regression model is established. Finally, the VIP value is used to measure the importance degree of each influencing factor. [Result/conclusion] The results show that the top three important factors are the composite total citation, the 5-year impact factor and the non-self-citing impact factor. The immediacy index and the average number of citation are not the main factors. The effect of the cited literature number, the cited literature proportion and the cited half-life are very weak. The study points out that when studying the relationship between journal influence and its influencing factors, it is necessary to pour attention into filter out the specific point of the sample set.
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