An Altmetric Examination of Artificial Intelligence and Emotional Intelligence

A View from PlumX Metrics

Abstract

This study examines the altmetric analysis of AI and EI literature. The Scopus database was chosen to extract the documents, 228 documents were selected. Among 228 documents, the top 100 articles were selected based on Scopus citation for data analysis. SPSS, MS Excel, and RStudio were used for data analysis. The results indicate a steady growth of annual publications. Sustainability journal has the highest publication, IEEE transactions on pattern analysis and machine intelligence was the highly cited journal. Tohoku University was a highly productive institute. The USA was the most prominent country both quantitatively and in impact. The pearson correlation coefficient between NoA and JIF is weakly positive (0.069), while the relationship between NoA and citations is weakly positive (.034). The study found a moderate positive relationship between Journal Impact Factor and citations (0.537) and captures (0.572). There is a weak positive correlation between JIF and mentions (0.221) and social media (0.013). The study found a strong and significant correlation between citations and captures (0.759), weak negative correlation between citations and mentions (-0.010) and a weak positive correlation between citations and social media (0.008), a significant weak positive relationship between mentions and social media (0.317) and a weak negative correlation (-0.028) between mentions and captures. Likewise, social media demonstrates a weak positive correlation with captures (0.105).