Journal ID (nlm-ta): PLoS Comput Biol
Journal ID (iso-abbrev): PLoS Comput. Biol
Journal ID (publisher-id): plos
Journal ID (pmc): ploscomp
Title:
PLoS Computational Biology
Publisher:
Public Library of Science
(San Francisco, USA
)
ISSN
(Print):
1553-734X
ISSN
(Electronic):
1553-7358
Publication date Collection:
April
2014
Publication date
(Electronic):
24
April
2014
Volume: 10
Issue: 4
Electronic Location Identifier: e1003542
Affiliations
[1
]Harvard University, Cambridge, Massachusetts, United States of America
[2
]University of California, Los Angeles, Los Angeles, California, United States of America
[3
]New York University, New York, New York, United States of America
[4
]University of Southern California, Los Angeles, Los Angeles, California, United States
of America
[5
]Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
[6
]University of Michigan, Ann Arbor, Michigan, United States of America
[7
]California Institute of Technology, Pasadena, California, United States of America
[8
]Pennsylvania State University, State College, Pennsylvania, United States of America
University of California San Diego, United States of America
Author notes
The authors have declared that no competing interests exist.
Article
Publisher ID:
PCOMPBIOL-D-13-01481
DOI: 10.1371/journal.pcbi.1003542
PMC ID: 3998871
PubMed ID: 24763340
ArXiV ID: 1401.2134
SO-VID: 0f9db5ff-2af7-4349-86ce-299e7740ab22
Copyright statement:
Copyright @
2014
License:
This is an open-access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided
the original author and source are credited.
The authors received no specific funding for writing this manuscript.
Subject:
Editorial
Subject:
Research and Analysis Methods
Subject:
Research Assessment
Subject:
Science Policy
Subject:
Science Education