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Highly Accessed Correspondence

A recipe for high impact

Murat Cokol12, Raul Rodriguez-Esteban23 and Andrey Rzhetsky124*

Author Affiliations

1 Department of Biomedical Informatics, Columbia University, New York, NY 10032, USA

2 Center for Computational Biology and Bioinformatics, Columbia University, New York, NY 10032, USA

3 Department of Electrical Engineering, Columbia University, New York, NY 10025, USA

4 Judith P. Sulzberger MD Columbia Genome Center and Department of Biological Sciences, Columbia University, New York, NY 10032, USA

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Genome Biology 2007, 8:406  doi:10.1186/gb-2007-8-5-406

Published: 10 May 2007

Abstract

Our analysis highlights common statistical features of high-impact articles; we also show how information flows among various publication types.