Global mapping of scientific information exchange using altmetric data

This study seeks to provide new insights into a hidden pattern in the cross-national scholarly network structure from an altmetric perspective. We investigate and visualize the dynamic and complex nature of altmetric-based referrals using a social network algorithm that measures societal use (via Twitter) and scientific impact (via Mendeley). We also use a variety of network indices and a QAP (quadratic assignment procedure) to validate the structural relationships between inter-country sharing networks. Finally, we identify several groups including Asia, Europe, and North America through a transcontinental sharing analysis. The findings suggest that policymakers need to track the international routes of word-of-mouth, which constitute socially mediated data-sharing, regarding scientific publications.