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.
BIP! DB: a dataset of impact measures for scientific publications
Atzori C;Mannocci A;La Bruzzo S;Manghi P
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.File in questo prodotto:
File | Dimensione | Formato | |
---|---|---|---|
prod_447176-doc_177388.pdf
accesso aperto
Descrizione: Preprint - BIP! DB: a dataset of impact measures for scientific publications
Tipologia:
Versione Editoriale (PDF)
Dimensione
130.61 kB
Formato
Adobe PDF
|
130.61 kB | Adobe PDF | Visualizza/Apri |
prod_447176-doc_183046.pdf
non disponibili
Descrizione: BIP! DB: a dataset of impact measures for scientific publications
Tipologia:
Versione Editoriale (PDF)
Dimensione
620.58 kB
Formato
Adobe PDF
|
620.58 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.