BIP! DB: A Dataset of Impact Measures for Scientific Publications
This dataset addresses the problem of scholarly data management for researchers and institutions by providing a large-scale resource for quantifying scientific impact.
The authors tackled the challenge of identifying valuable research amid rapidly growing scientific publications by creating BIP! DB, an open dataset containing various impact measures for over 100 million publications across disciplines.
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.