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The presence of academic journals on Twitter and its relationship with dissemination (tweets) and research impact (citations)

机译:Twitter上学术期刊的存在及其与传播(推文)和研究影响(引用)的关系

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Purpose - The purpose of this paper is to analyze the relationship between dissemination of research papers on Twitter and its influence on research impact. Design/methodology/approach - Four types of journal Twitter accounts (journal, owner, publisher and no Twitter account) were defined to observe differences in the number of tweets and citations. In total, 4,176 articles from 350 journals were extracted from Plum Analytics. This altmetric provider tracks the number of tweets and citations for each paper. Student's t-test for two-paired samples was used to detect significant differences between each group of journals. Regression analysis was performed to detect which variables may influence the getting of tweets and citations. Findings - The results show that journals with their own Twitter account obtain more tweets (46 percent) and citations (34 percent) than journals without a Twitter account. Followers is the variable that attracts more tweets (β=0.47) and citations (β = 0.28) but the effect is small and the fit is not good for tweets (R~2 = 0.46) and insignificant for citations (R~2 = 0.18). Originality/value - This is the first study that tests the performance of research journals on Twitter according to their handles, observing how the dissemination of content in this microblogging network influences the citation of their papers.
机译:目的-本文的目的是分析在Twitter上传播研究论文与其对研究影响的影响之间的关系。设计/方法/方法-定义了四种类型的日记Twitter帐户(期刊,所有者,发布者和没有Twitter帐户),以观察推文和引文数量的差异。总共从Plum Analytics中提取了350种期刊中的4,176篇文章。该高度度量提供者跟踪每篇论文的推文和引文数量。两对样本的学生t检验用于检测各组期刊之间的显着差异。进行回归分析以检测哪些变量可能影响推文和引文的获取。结果-结果显示,拥有自己的Twitter帐户的期刊比没有Twitter帐户的期刊获得更多的推文(46%)和引文(34%)。追随者是吸引更多推文(β= 0.47)和引文(β= 0.28)的变量,但效果很小,对推文的拟合度不佳(R〜2 = 0.46),对于引文的意义不大(R〜2 = 0.18) )。原创性/价值-这是第一项研究,根据其处理方式测试Twitter上研究期刊的性能,观察该微博网络中内容的传播如何影响其论文的引用。

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