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BIP! DB: a dataset of impact measures for scientific publications

Conference Paper
Publication Date:
2021
abstract:
The growth rate of the number of scientific publications is constantly increasing, creating important challenges in the identification of valuable research and in various scholarly data management applications, in general. In this context, measures which can effectively quantify the scientific impact could be invaluable. In this work, we present BIP! DB, an open dataset that contains a variety of impact measures calculated for a large collection of more than 100 million scientific publications from various disciplines.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Scientometrics; Research assessment; Research impact
List of contributors:
Manghi, Paolo; LA BRUZZO, SANDRO FABRIZIO; Atzori, Claudio; Mannocci, Andrea
Authors of the University:
ATZORI CLAUDIO
LA BRUZZO SANDRO FABRIZIO
MANGHI PAOLO
MANNOCCI ANDREA
Handle:
https://iris.cnr.it/handle/20.500.14243/426922
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/426922/86664/prod_447176-doc_177388.pdf
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URL

https://dl.acm.org/doi/fullHtml/10.1145/3442442.3451369
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