  In over five years, Bornmann, Stefaner, de Moya Anegon, and Mutz (2014) and
Bornmann, Stefaner, de Moya Anegon, and Mutz (2014, 2015) have published
several releases of the www.excellencemapping.net tool revealing (clusters of)
excellent institutions worldwide based on citation data. With the new release,
a completely revised tool has been published. It is not only based on citation
data (bibliometrics), but also Mendeley data (altmetrics). Thus, the
institutional impact measurement of the tool has been expanded by focusing on
additional status groups besides researchers such as students and librarians.
Furthermore, the visualization of the data has been completely updated by
improving the operability for the user and including new features such as
institutional profile pages. In this paper, we describe the datasets for the
current excellencemapping.net tool and the indicators applied. Furthermore, the
underlying statistics for the tool and the use of the web application are
explained.
