Altmetrics Top100论文的演进特征及影响因素分析

Analysis of Evolution Characteristics and Influencing Factors of Altmetrics Top100 Papers

[目的/意义]研究Altmetrics Top100论文指标的主要特征及其与传统文献计量指标的相关性,以及它们的演化情况;同时,结合Altmetrics指标和传统文献计量指标全面评价Altmetrics Top100论文的影响因素,对于发展和完善Altmetrics计量体系至关重要。[方法/过程]本研究以2016-2018年Altmetric Top100论文为样本,对近3年的高Altmetrics指标论文的来源期刊、学科分布进行统计分析,并讨论这些特征的动态演化情况。采用描述性统计、相关性分析以及回归分析等方法综合探讨Altmetric Top100论文的影响因素。[结果/结论]研究结果表明,高Altmetrics指标论文主要来源于高影响因子期刊,其学科主要集中于医疗健康与生物科学;News、Blog、Tweets、Facebook、Mendeley是高Altmetrics分数论文的显著影响因素,而WOS中的文献使用指标与Altmetrics的主要指标呈显著负相关。最后,分析这些高Altmetrics论文影响因素的原因并提出了建议。

[Objective/Meaning]This paper studies the main characteristics of Altmetrics Top100 paper indicators and their correlation with traditional literature measurement indicators,and their evolution;At the same time,the comprehensive evaluation of the influencing factors of the Altmetrics Top100 paper in combination with Altmetrics indicators and traditional bibliometric indicators is essential for the development and improvement of the Altmetrics measurement system.[Method/Process]This study used the 2016-2018 Altmetric Top100 paper as a sample to analyze the source journals and subject distribution of the high Altmetrics index papers for the past 3 years;and discussed the dynamic evolution of these features.Descriptive statistics,correlation analysis and regression analysis were used to explore the influencing factors of the Altmetric Top100 paper.[Results/Conclusions]The results of the study indicated that the high Altmetrics index papers were mainly from high impact factor journals.The subjects were mainly focused on medical health and biological sciences;news,blogs,tweets,facebook,and mendeley were significant factors in the high Altmetrics score papers,while the literature usage indicators in WOS were significantly negatively correlated with the main indicators of Altmetrics.Finally,this paper analyzed the reasons for the influencing factors of these high Altmetrics papers and made recommendations.