Institute of Social and Preventive Medicine, University Bern, Bern, Switzerland.
Epidemiology and Public Health, Sciensano, Brussels, Belgium.
Int J Public Health. 2020 Dec;65(9):1797-1802. doi: 10.1007/s00038-020-01519-8. Epub 2020 Nov 7.
OBJECTIVES: We previously reported that random assignment of scientific articles to a social media exposure intervention did not have an effect on article downloads and citations. In this paper, we investigate whether longer observation time after exposure to a social media intervention has altered the previously reported results. METHODS: For articles published in the International Journal of Public Health between December 2012 and December 2014, we updated article download and citation data for a minimum of 24-month follow-up. We re-analysed the effect of social media exposure on article downloads and citations. RESULTS: There was no difference between intervention and control group in terms of downloads (p = 0.72) and citations (p= 0.30) for all papers and when we stratified by open access status. CONCLUSIONS: Longer observation time did not increase the relative differences in the numbers of downloads and citations between papers in the social media intervention group and papers in the control group. Traditional impact metrics based on citations, such as impact factor, may not capture the added value of social media for scientific publications.
目的:我们之前报道过,将科学论文随机分配到社交媒体曝光干预组,并不会对论文下载量和引用量产生影响。在本文中,我们研究了在社交媒体干预后观察时间的延长是否改变了之前报告的结果。
方法:我们更新了 2012 年 12 月至 2014 年 12 月间发表在《国际公共卫生杂志》上的文章的下载量和引用量数据,随访时间至少为 24 个月。我们重新分析了社交媒体曝光对论文下载量和引用量的影响。
结果:在所有论文以及开放获取状态分层的情况下,干预组和对照组的下载量(p=0.72)和引用量(p=0.30)均无差异。
结论:观察时间的延长并没有增加社交媒体干预组和对照组论文下载量和引用量的相对差异。基于引用的传统影响指标,如影响因子,可能无法捕捉社交媒体对科学出版物的附加价值。
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