A Correlation Study Between Altmetrics and Citations Using the Parameters of Title Rendering, Open Access, and Funding Status

Jagdish G Sharma
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引用次数: 0

Abstract

A correlation study between professional academic citations and social media (SM)-dominated Altmetrics measures is of interest to library professionals. Three parameters namely, title wording, open access (OA) facility, and research funding credentials impact the citation of an article. The study investigates how these parameters relate to the literature related to COVID-19, SM, and misinformation. The citations were obtained from the Dimension- Altmetric citation database. The database was searched using the search terms “Covid-19 AND Social Media AND Misinformation”. The Mann-Whitney-U test, pearson correlation and point- biserial correlation analysis were used to analyse the 1,489 citations. A moderate positive pearson correlation (r= 0.429, p= 0.00) between the altmetric score and dimension-based citations was found. A significant association between the altmetric score and OA compared to those of non-OA articles was observed. No significant association was found between the altmetric score and the use of specific words in the title of the article except for the length of the title. Articles that received financial support had significantly higher altmetric scores but, in the case of citations, this was not significant.
使用标题渲染、开放获取和资助状态参数进行的 Altmetrics 与引用之间的相关性研究
图书馆专业人员对专业学术引文与社交媒体(SM)主导的 Altmetrics 指标之间的相关性研究很感兴趣。标题措辞、开放存取(OA)设施和研究资助资质这三个参数会影响文章的引用。本研究调查了这些参数与 COVID-19、SM 和错误信息相关文献的关系。引文来自 Dimension- Altmetric 引文数据库。使用 "Covid-19、社交媒体和误导 "作为检索词对数据库进行了搜索。曼-惠特尼-U 检验、pearson 相关性和点-双相关性分析用于分析 1,489 篇引文。结果发现,altmetric 评分与基于维度的引文之间存在中等程度的正相关性(r= 0.429,p= 0.00)。与非 OA 文章相比,altmetric 分数与 OA 文章之间存在明显关联。除标题长度外,altmetric得分与文章标题中特定词语的使用之间没有发现明显联系。获得资助的文章的 altmetric 分数明显更高,但在引用方面,这一点并不显著。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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