MESUR

studying science from large-scale usage data

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About

MESUR studies Science (with capital S) as a social system from large-scale usage data collected from some of the world’s most significant publishers, aggregators and institutional consortia.

Since its conception in 2006 MESUR has produced:

- Maps of science derived from usage data (Bollen J, Van de Sompel H, Hagberg A, Bettencourt L, Chute R, et al. 2009 Clickstream Data Yields High-Resolution Maps of Science. PLoS ONE 4(3): e4803. doi:10.1371/journal.pone.0004803). MESUR’s maps can be explored at: http:///www.mesur.org/services

- Surveys of innovative metrics of scholarly impact (Bollen J, Van de Sompel H, Hagberg A, Chute R, 2009 A Principal Component Analysis of 39 Scientific Impact Measures. PLoS ONE 4(6): e6022. doi:10.1371/journal.pone.0006022). In fact, 39 different citation and usage-based metrics have been calculated and compared in terms of their ability to express scientific impact. These metrics can be explored at: http:///www.mesur.org/services

MESUR is known for creating the largest and most diverse database of scholarly usage data in existence. In fact, the MESUR data base now contains over 1B article-level usage events (2002-2007) obtained from 6 significant publishers, 4 large institutional consortia and 4 significant aggregators! The collected usage data spans more than 100,000 serials (including  newspapers, magazines, etc.) and is related to journal citation data that spans more than 100,000 serials (including scientific journals) and nearly 10 years (1996-2006). In addition we have obtained significant publisher-provided COUNTER usage reports that span nearly 2000 institutions worldwide.

Funders:
- 2006 to 2008: Andrew W. Mellon Foundation
- 2009 to 2012: National Science Foundation

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