Mastermind’s Relevancy score is a set of algorithms used to prioritize articles by their relevance to a search and present the most relevant articles to the user. This incorporates numerous parameters intrinsic to each article itself (such as journal impact factor) and contextual evidence to the search being performed (such as where/how often the variant of interest is being mentioned). The final search results are then prioritized by combining the objective and contextual relevancy scores to list the most clinically relevant articles for your search. Additional information about Relevancy Scores can be found here.