{"title":"Top COVID-19 100 vaccine papers: An Altmetric study","authors":"A. Shehata, Metwaly El Dakar, Nahed M H Salem","doi":"10.1109/acit53391.2021.9677241","DOIUrl":null,"url":null,"abstract":"The high number of COVID-19 studies has attracted scholars to produce many studies on the topic. However, while we know the impact of these studies on academia by analyzing their citation score in different indexing outlets, little is known about their impact on social networks. The current study aims to measure the impact of the top 100 vaccination papers on social networks. An Altmetrics analysis is conducted to measure the Altmetrics attention scores of the paper. We retrieved the data through the Web of Science and Scopus. The researchers selected Altmetric.com as a tool to obtain social media and mainstream internet outlet counts. The findings of the study revealed that there is a significant correlation between the citations and Altmetric indicators. Our findings indicate that Twitter and Mendeley represent the most contributes social networks in the final AAS in almost all journals included in the study. The study’s findings have confirmed that COVID-19 vaccination papers have gained many citations and attention on social networks.The study’s main limitation is that it only measured the Altmetrics score for the top 100 papers. Hence, while the current paper gave us insight into the performance of vaccination papers on the social web, there is a need to conduct further studies covering a larger sample.","PeriodicalId":302120,"journal":{"name":"2021 22nd International Arab Conference on Information Technology (ACIT)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 22nd International Arab Conference on Information Technology (ACIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/acit53391.2021.9677241","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The high number of COVID-19 studies has attracted scholars to produce many studies on the topic. However, while we know the impact of these studies on academia by analyzing their citation score in different indexing outlets, little is known about their impact on social networks. The current study aims to measure the impact of the top 100 vaccination papers on social networks. An Altmetrics analysis is conducted to measure the Altmetrics attention scores of the paper. We retrieved the data through the Web of Science and Scopus. The researchers selected Altmetric.com as a tool to obtain social media and mainstream internet outlet counts. The findings of the study revealed that there is a significant correlation between the citations and Altmetric indicators. Our findings indicate that Twitter and Mendeley represent the most contributes social networks in the final AAS in almost all journals included in the study. The study’s findings have confirmed that COVID-19 vaccination papers have gained many citations and attention on social networks.The study’s main limitation is that it only measured the Altmetrics score for the top 100 papers. Hence, while the current paper gave us insight into the performance of vaccination papers on the social web, there is a need to conduct further studies covering a larger sample.
关于COVID-19的大量研究吸引了学者们对该主题进行了许多研究。然而,虽然我们通过分析这些研究在不同索引渠道的引用得分来了解它们对学术界的影响,但我们对它们对社交网络的影响知之甚少。目前的研究旨在衡量前100名疫苗接种论文对社交网络的影响。通过Altmetrics分析来衡量论文的Altmetrics注意力得分。我们通过Web of Science和Scopus检索数据。研究人员选择Altmetric.com作为获取社交媒体和主流互联网出口数量的工具。研究结果表明,论文被引次数与Altmetric指标之间存在显著的相关性。我们的研究结果表明,Twitter和Mendeley在几乎所有纳入研究的期刊的最终AAS中代表了贡献最大的社交网络。研究结果证实,新冠疫苗接种论文在社交网络上获得了大量引用和关注。这项研究的主要局限性在于,它只衡量了前100篇论文在Altmetrics上的得分。因此,虽然目前的论文让我们深入了解了疫苗接种论文在社交网络上的表现,但仍有必要进行覆盖更大样本的进一步研究。