BIP! DB: A Dataset of Impact Measures for Scientific Publications
Thanasis Vergoulis, Ilias Kanellos, Claudio Atzori, Andrea Mannocci,, Serafeim Chatzopoulos, Sandro La Bruzzo, Natalia Manola, Paolo Manghi
TL;DR
BIP! DB is an open dataset containing impact measures for over 100 million scientific publications, aiding in research valuation and scholarly data management amidst rapid publication growth.
Contribution
The paper introduces BIP! DB, a comprehensive open dataset of impact measures for a vast collection of scientific publications across disciplines.
Findings
Provides impact measures for 100 million publications
Facilitates research valuation and scholarly analysis
Supports data-driven decision making in science
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.
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