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Altmetrics from Altmetric.com are widely used by publishers and researchers to give earlier evidence of attention than citation counts. This article assesses whether Altmetric.com scores are reliable early indicators of likely future impact and whether they may also reflect non-scholarly impacts. A preliminary factor analysis suggests that the main altmetric indicator of scholarly impact is Mendeley reader counts, with weaker news, informational and social network discussion/promotion dimensions in some fields. Based on a regression analysis of Altmetric.com data from November 2015 and Scopus citation counts from October 2017 for articles in 30 narrow fields, only Mendeley reader counts are consistent predictors of future citation impact. Most other Altmetric.com scores can help predict future impact in some fields. Overall, the results confirm that early Altmetric.com scores can predict later citation counts, although less well than journal impact factors, and the optimal strategy is to consider both Altmetric.com scores and journal impact factors. Altmetric.com scores can also reflect dimensions of non-scholarly impact in some fields. 相似文献
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高Altmetrics指标科技论文学术影响力研究 总被引：9，自引：0，他引：9
引入"公平性测试"方法以消除时间窗口对被引次数的影响。以高Altmetrics指标论文作为样本,选取与样本论文发表在同一期刊同一期上前后两篇论文作为参照。利用Altmetric.com、Web of Science分别获取273篇样本及参照论文的Altmetric分数、底层数据值和被引用次数。通过比较分析后发现:Altmetrics和引文数两种指标反映出读者对文献的不同关注方向,底层数据源中大众媒体对于Altmetric分数的影响最明显,高Altmetrics指标论文同时具有较高的学术影响力。作为一种早期指标,高Altmetrics指标在一定程度上能够被视作文章在未来获得高被引的风向标。 相似文献
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匡登辉 《中国科技期刊研究》2016,27(11):1188-1194
【目的】为提高我国科技期刊的影响力,考察Altmetrics热点论文相关期刊的学术影响力和社会影响力。【方法】通过Altmetric.com网站或Figshare平台获取2015年的Top 100论文的Altmetrics指标,利用MS Excel对论文的期刊分布、学科分布、作者群分布及网络传播数据进行描述性统计分析。【结果】我国科技期刊的国际显示度不高,在Top 100中仅1种期刊（仅占3.33%）来自于中国;我国期刊网站目前不支持主流社交媒体的全面接入。【结论】高水平期刊论文的高Altmetrics表现,与其高品质的期刊影响力,在一定程度上是一致的,但是Altmetrics表征的是社会影响力及社会关注度,评价期刊影响力,应将Altmetrics与传统的学术影响力评价结合起来。 相似文献
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[目的/意义]altmetrics指标是对传统文献计量指标的补充,但相关理论和实践还处于起步阶段。本文旨在总结和分析altmetrics工具在数据质量和可靠性方面存在的一些问题。[方法/过程]在概述altmetrics工具的发展基础上,系统梳理altmetrics的基本工具和聚合工具及现阶段存在的相关问题。[结果/结论]总结altmetrics工具在数据覆盖广度和强度、数据跟踪和搜集方式、上下文和人口统计特征分析、数据的甄别和处理4方面存在的相关问题,进一步提出altmetrics及ALMs数据应该遵循公开、透明和可审计3个基本原则。 相似文献
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[目的/意义] 探讨开放同行评议（OPR）对期刊论文的引文及社会关注度的影响。[方法/过程] 采用描述性统计及配对样本非参数检验方法，比较OPR与非OPR期刊在期刊年龄、SCI年龄、国别、出版周期、开放存取、评审透明度级别、论文引文及社会关注度指标上的差异，探索期刊一般特征对OPR期刊论文引文及社会关注度指标的影响，检验OPR期刊论文引文与社会关注度指标间的相关关系。[结果/结论] OPR期刊论文有显著的引文与社会关注度优势。国别对引文指标有显著影响，出版周期对引文及社会关注度均有显著影响。OPR期刊论文的引文指标与社会关注度指标显著正相关。 相似文献
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《Journal of Informetrics》2020,14(4):101071
The aim of this study is to introduce two groups of impact indicators, Weighted Altmetric Impact (WAI) and Inverse Altmetric Impact (IAI). WAI is based in weights from the contributions of each metric to different components or impact dimensions (Principal Component Analysis). IAI is calculated according to the inverse prevalence of each metric in different impact dimensions (TF/IDF). These indicators were tested against 29,500 articles, using metrics from Altmetric.com, PlumX and CED. Altmetric Attention Score (AAScore) was also obtained to compare the resulting scores. Several statistical analyses were applied to value the advantages and limitations of these indicators. Frequency distributions showed that each group of metrics (Scientific Impact, Media Impact and Usage Impact) follows power law trends although with particular patterns. Correlation matrices have depicted associations between metrics and indicators. Multidimensional scaling (MDS) has plotted these interactions to visualize distances between indicators and metrics in each dimension. The 2018 Altmetric Top 100 was used to distinguish differences between rankings from AAScore and the proposed indicators. The paper concludes that the theoretical assumptions of dimensions and prevalence are suitable criteria to design transparent and reproducible impact indicators. 相似文献
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