A systematic identification and analysis of scientists on Twitter

« Metrics derived from Twitter and other social media—often referred to as altmetrics—are increasingly used to estimate the broader social impacts of scholarship. Such efforts, however, may produce highly misleading results, as the entities that participate in conversations about science on these platforms are largely unknown. For instance, if altmetric activities are generated mainly by scientists, does it really capture broader social impacts of science? Here we present a systematic approach to identifying and analyzing scientists on Twitter. (…) »

source > journals.plos.org, Qing Ke, Yong-Yeol Ahn, Cassidy R. Sugimoto, 11 avril 2017, doi.org/10.1371/journal.pone.0175368

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