期刊文献+

融合Altmetrics的话语引导力指标与被引频次关系研究——以中国英文学术期刊为例 被引量:7

Research on the Relationship between Discourse Leading Indicators and Citation Counts Based on Altmetrics:A Case Study of Chinese Academic Journals in English
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摘要 [目的/意义]开放科学背景下,探究学术期刊话语引导力指标与被引频次间的关系,对构建我国学术期刊话语引导力评价指标体系、创建世界一流学术期刊都具有重要意义。[方法/过程]选取211种中国英文学术期刊,采用描述性统计分析、相关分析、主成分分析和多元逐步回归分析等方法,融合Altmetrics指标研究了其话语引导力指标与被引频次的相关和因果关系,进一步解析并探究了指标的内涵和本质特征,关系的强弱和影响。[结果/结论]Altmetrics指标数据整体上向中心集中程度较低、两极化离散程度较高,指标数值波动范围极大,均不服从正态分布,均呈现长尾偏右的尖顶曲线特征,指标覆盖率高低不一,15个指标中的大部分指标间呈正相关关系。学术期刊话语引导力显著影响国际总被引频次。建立了多元线性回归模型,新闻社媒话语、百科话语和同评话语3个引导因子对国际总被引频次产生显著正向影响,且正向影响或贡献度依次减弱;而视频话语和政策话语2个引导因子虽与国际总被引频次呈相关关系,但对其不存在显著影响。 [Purpose/significance]Under the background of open science,this paper is to explore the relationship between discourse leading indicators and citation counts of Chinese academic journals.It is of great significance to construct the evaluation indicator system for the discourse power of Chinese academic journals and to establish world-class academic journals.[Method/process]This paper selects 211 Chinese academic journals in English,uses the method of descriptive statistics,correlation analysis,principal component regression analysis,and integrates Altmetrics to study the correlation and causal relationship between discourse leading indicators and citation counts of Chinese academic journals in English.This paper further analyzes and explores the connotation and essential characteristics of the indicators,the strength and influence of the relationship between indicators.[Result/conclusion]Altmetrics indicators data generally have a low degree of centralization to the center and a high degree of polarization dispersion.The values have a wide range of fluctuations,which do not demonstrate the normal distribution.They all show the characteristics of a sharp top curve with a long tail to the right,and the coverage is different,and most of the 15 indicators are positively correlated.The discourse leading of academic journals significantly affects the international total citation counts.Multiple linear regression equation is established.The three leading factors of news and social media discourse,encyclopedia discourse and peer review discourse have significant positive influence on the international total citation counts,and the positive influence or contribution degree is weakened successively.The two leading factors of video discourse and policy discourse are correlated with the international total citation counts,but have no significant influence on it.
作者 王旭 赵蓉英 Wang Xu
出处 《情报理论与实践》 CSSCI 北大核心 2021年第7期37-43,36,共8页 Information Studies:Theory & Application
基金 国家社会科学基金重大项目“构建中国话语权的评价科学理论、方法与应用体系研究”(项目编号:18ZDA325) 2021年度河北省高等学校人文社会科学研究基金青年项目“多元融合视域下中国学术期刊话语权评价研究”(项目编号:SQ2021119)的成果之一。
关键词 中国 英文学术期刊 话语引导力 被引频次 Altmetrics 指标关系 China academic journals in English discourse leading citation counts Altmetrics indicator relationship
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