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

Contributo in Atti di convegno
Data di Pubblicazione:
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.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Scientometrics; Research assessment; Research impact
Elenco autori:
Manghi, Paolo; LA BRUZZO, SANDRO FABRIZIO; Atzori, Claudio; Mannocci, Andrea
Autori di Ateneo:
ATZORI CLAUDIO
LA BRUZZO SANDRO FABRIZIO
MANGHI PAOLO
MANNOCCI ANDREA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/426922
Link al 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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