#academia

Bibliometric data is indispensable when it comes to evaluating the impact of your scientific work. If you’re not afraid of facing one or two mathematical formulas, then you can learn how to interpret the most common metrics, such as Impact Factor or CiteScore, here.

Our scientific identities shape our notions of quality, value, and relevance, adding an essential human dimension to the evaluation of science. It is therefore time to think (and act) outside the box and to explore peer review as an identity-informed rather than identity-agnostic mechanism in science.