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Evaluating the impact of research using the altmetrics approach (case study: the field of scientometrics)

机译:使用Altmetrics方法评估研究的影响(案例研究:科学计量学领域)

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Purpose - This paper aims to assess the impact of research in the field of scientometrics by using the altmetrics (social media metrics) approach. Design/methodology/approach - This is an applied study which uses scientometric and altmetrics methods. The research population consists of the studies and their citations published in the two core journals (Scientometrics and Journal of Informetrks) in a period of five years (included 1,738 papers and 11,504 citations). Collecting and extracting the studies directly was carried from Springer and ScienceDirect databases. The Altmetric Explorer, a service provided by Altmetric.com, was used to collect data on studies from various sources (www.altmetric.com/). The research studies with the altmetric scores were identified (included 830 papers). The altmetric scores represent the quantity and quality of attention that the study has received on social media. The association between altmetric scores and citation indicators was investigated by using correlation tests. Findings - The findings indicated a significant, positive and weak statistical relationship between the number of citations of the studies published in the field of scientometrics and the altmetric scores of these studies, as well as the number of readers of these studies in the two social networks (Mendeley and Citeulike) with the number of their citations. In this study, there was no statistically significant relationship between the number of citations of the studies and the number of readers on Twitter. In sum, the above findings suggest that some social networks and their indices can be representations of the impact of scientific papers, similar citations. However, owing to the weakness of the correlation coefficients, the replacement of these two categories of indicators is not recommended, but it is possible to use the altmetrics indicators as complementary scientometrics indicators in evaluating the impact of research. Originality/value - Investigating the impact of research on social media can reflect the social impact of research and can also be useful for libraries, universities, and research organizations in planning, budgeting, and resource allocation processes.
机译:目的 - 本文旨在利用Altmetrics(社交媒体指标)方法来评估研究在科学计量学领域的影响。设计/方法/方法 - 这是一种应用研究,它使用Scienture和Altmetrics方法。研究人口包括在五年(包括1,738篇论文和11,504个引用)的两年核心期刊(科学资料和学报)中公布的研究及其引文。直接收集和提取研究是从Springer和Sciencedirect数据库进行的。 Altmetric.com提供的矿产资源管理器,用于收集各种来源的研究数据(www.altmetric.com/)。鉴定了具有矿产分数的研究研究(包括830篇论文)。矿产分数代表了研究在社交媒体上收到的关注的数量和质量。通过使用相关试验研究了矿产分数和引导指示剂之间的关联。调查结果 - 调查结果表明,在科学计量学领域和这些研究的矿产分数上发表的研究的引用人数与这些研究的矿产分数的统计数据之间的显着,积极和薄弱的统计关系,以及两项社交网络中这些研究的读者人数(Mendeley和Citeulike)与他们的引用人数。在这项研究中,研究人数与Twitter上的读者人数之间没有统计上显着的关系。总而言之,上述研究结果表明,一些社交网络及其指标可以是科学论文,类似引文的影响的陈述。然而,由于相关系数的弱点,不建议更换这两类指标,但是可以使用AltMetrics指标作为评估研究影响的互补科学计量指标。原创性/值 - 调查研究对社交媒体的影响可以反映研究的社会影响,也可以对规划,预算和资源分配过程中的图书馆,大学和研究组织有用。

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