@misc{10481/71226,
year = {2021},
month = {10},
url = {http://hdl.handle.net/10481/71226},
abstract = {In over five years, Bornmann, Stefaner, de Moya Anegon, and Mutz (2014b) and Bornmann,
Stefaner, de Moya Anegón, and Mutz (2014c, 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.},
publisher = {Springer},
keywords = {Scientometrics},
keywords = {Bibliometrics},
keywords = {Spatial bibliometrics},
keywords = {Bibliometric mapping},
keywords = {University ranking},
keywords = {Scientific impact},
title = {Mapping the impact of papers on various status groups in excellencemapping.net: a new release of the excellence mapping tool based on citation and reader scores},
doi = {10.1007/s11192-021-04141-4},
author = {Bornmann, Lutz and Moya Anegón, Félix de},
}