A ranking and exploration service based on large-scale usage data.

Authors:
Johan Bollen;Herbert Van de Sompel;Lyudmilla Balakireva;Ryan Chute
Affiliations:
Los Alamos National Laboratory, Los Alamos, NM, USA;Los Alamos National Laboratory, Los Alamos, NM, USA;Los Alamos National Laboratory, Los Alamos, NM, USA;Los Alamos National Laboratory, Los Alamos, NM, USA
Venue:
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
Year:
2008

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Abstract

This poster presents the architecture and user interface of a prototype service that was designed to allow end-users to explore the structure of science and perform assessments of scholarly impact on the basis of large-scale usage data. The underlying usage data set was constructed by the MESUR project which collected 1 billion usage events from a wide range of publishers, aggregators, and institutional consortia.