话语引导指标与引文关系研究——基于国际多学科学术期刊altmetrics指标的视角

IF 3.4 3区 管理学 0 INFORMATION SCIENCE & LIBRARY SCIENCE Library Hi Tech Pub Date : 2022-12-29 DOI:10.1108/lht-09-2021-0296
Xu Wang, Xin Feng
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引用次数: 7

摘要

目的从整合altmetrics指标的角度分析话语引导指标与引文之间的关系,试图为理解开放科学时代科学传播的量化指标提供参考,构建学术期刊话语引导的评价指标体系,进而提高学术期刊的话语引导水平。设计/方法论/方法基于传播理论和科学传播新模式,探讨学术期刊话语主导的形成过程。本文从65种国际多学科学术期刊中获得874119篇引文和6378843个altmetrics指标数据。采用描述性统计分析、相关分析、主成分分析、负二项回归分析和边际效应分析等方法,研究了语篇领先指标与引文的关系。同时,对指标的内涵和本质特征、强度和影响关系进行了进一步的分析和探讨。提出学术期刊的话语引导由新闻话语引导、社交媒体话语引导、同行评议话语引导、百科全书式话语引导、视频话语引导和政策话语引导组成。结果发现,15个altmetrics指标数据总体上对中心的集中度较低,极化分散度较高;它们的分布模式不遵循正态分布,分布具有长尾右峰曲线的特征。总体而言,有15项指标显示出正相关性,提及次数和覆盖范围存在很大差距。学术期刊的话语引导显著影响引用总量。当使用国际主流学术和社交媒体平台的altmetrics指标来探究学术期刊话语主导的内涵和特征时,社交媒体话语、新闻话语、视频话语、政策话语、同行评审话语和百科全书话语对引文的影响或贡献依次递减。原创性/价值本研究从学术期刊层面进行创新,从相关性的角度分析altmetrics指标与引文之间的深层关系。本文首先探讨了学术期刊话语主导的形成过程。其次,本文整合altmetrics指标,研究话语引导指标与引文之间的相关性。本研究将有助于丰富和完善基础理论问题和指标构成,为构建学术期刊话语主导评价体系提供理论支撑,为评价实践活动提供思路。
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Research on the relationships between discourse leading indicators and citations: perspectives from altmetrics indicators of international multidisciplinary academic journals
PurposeThis paper aims to analyze the relationships between discourse leading indicators and citations from perspectives of integrating altmetrics indicators and tries to provide references for comprehending the quantitative indicators of scientific communication in the era of open science, constructing the evaluation indicator system of the discourse leading for academic journals and then improving the discourse leading of academic journals.Design/methodology/approachBased on the theory of communication and the new pattern of scientific communication, this paper explores the formation process of academic journals' discourse leading. This paper obtains 874,119 citations and 6,378,843 altmetrics indicators data from 65 international multidisciplinary academic journals. The relationships between indicators of discourse leading (altmetrics) and citations are studied by using descriptive statistical analysis, correlation analysis, principal component analysis, negative binomial regression analysis and marginal effects analysis. Meanwhile, the connotation and essential characteristics of the indicators, the strength and influence of the relationships are further analyzed and explored. It is proposed that academic journals' discourse leading is composed of news discourse leading, social media discourse leading, peer review discourse leading, encyclopedic discourse leading, video discourse leading and policy discourse leading.FindingsIt is discovered that the 15 altmetrics indicators data have a low degree of centralization to the center and a high degree of polarization dispersion overall; their distribution patterns do not follow the normal distributions, and their distributions have the characteristics of long-tailed right-peaked curves. Overall, 15 indicators show positive correlations and wide gaps exist in the number of mentions and coverage. The academic journals' discourse leading significantly affects total cites. When altmetrics indicators of international mainstream academic and social media platforms are used to explore the connotation and characteristics of academic journals' discourse leading, the influence or contribution of social media discourse, news discourse, video discourse, policy discourse, peer review discourse and encyclopedia discourse on the citations decreases in turn.Originality/valueThis study is innovative from the academic journal level to analyze the deep relationships between altmetrics indicators and citations from the perspective of correlation. First, this paper explores the formation process of academic journals' discourse leading. Second, this paper integrates altmetrics indicators to study the correlation between discourse leading indicators and citations. This study will help to enrich and improve basic theoretical issues and indicators’ composition, provide theoretical support for the construction of the discourse leading evaluation system for academic journals and provide ideas for the evaluation practice activities.
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来源期刊
Library Hi Tech
Library Hi Tech INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
8.30
自引率
44.10%
发文量
97
期刊介绍: ■Integrated library systems ■Networking ■Strategic planning ■Policy implementation across entire institutions ■Security ■Automation systems ■The role of consortia ■Resource access initiatives ■Architecture and technology ■Electronic publishing ■Library technology in specific countries ■User perspectives on technology ■How technology can help disabled library users ■Library-related web sites
期刊最新文献
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