For this work we are proposing to use Plum metrics and Scopus citation graph collected references to analyze the impact of sharing data when publishing a journal article.
First, we will normalize our observations based on how Scholix and Scopus coverage of different disciplines may affect impact. Then, we will look at usage and other Plum metrics for those datasets, evaluating their the potential impact on their related articles.
Finally we are also building an algorithm aiming at extracting data citations from Scopus articles references and compare those citations with Scholix coverage, and evaluating general data citation patterns in Scopus articles.