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The life cycle of altmetric impact: A longitudinal study of six metrics from PlumⅩ

机译:测高影响的生命周期:对PlumⅩ的六个测度的纵向研究

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摘要

The main objective of this study is to describe the life cycle of altmetric and bibliometric indicators in a sample of publications. Altmetrics (Downloads, Views, Readers, Tweets, and Blog mentions) and bibliometric counts (Citations) (in this study, the indicators will be capitalized to differentiate them from the general language) of 5185 publications (19,186 observations) were extracted from PlumX to observe their distribution according to the publication age. Correlations between these metrics were calculated from month to month to observe the evolution of these relationships. The results showed that mention metrics (Tweets and Blog mentions) are the earliest metrics that become available most quickly and have the shortest life cycle. Next, Readers are the metrics with the highest prevalence and with the second fastest growth. Views and Downloads show a continuous growth, being the indicators with the longest life cycles. Finally, Citations are the slowest indicators and have a low prevalence. Correlations show a strong relationship between mention metrics and Readers and Downloads, and between Readers and Citations. These results enable us to create a schematic diagram of the relationships between these metrics from a longitudinal view. (C) 2018 Elsevier Ltd. All rights reserved.
机译:这项研究的主要目的是在出版物样本中描述测高和文献计量指标的生命周期。从PlumX提取了5185份出版物(19,186个观察结果)的Altmetrics(下载,查看,读者,推文和Blog提及)和书目计数(引文)(在本研究中,该指标将用大写字母区分,以区别于通用语言)。观察其根据出版年龄的分布。这些指标之间的相关性逐月计算,以观察这些关系的演变。结果表明,提及指标(Tweets和Blog提及)是最早的指标,这些指标变得最快速且生命周期最短。其次,读者是普及率最高,增长第二快的指标。 “观看次数和下载次数”显示持续增长,是生命周期最长的指标。最后,引文是最慢的指标,其流行率很低。相关性显示提及指标与读者和下载之间以及读者与引文之间有很强的关系。这些结果使我们能够从纵向视图创建这些度量之间关系的示意图。 (C)2018 Elsevier Ltd.保留所有权利。

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