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Interpreting Expression Data with Metabolic Flux Models: Predicting Mycobacterium tuberculosis Mycolic Acid Production

Overview of attention for article published in PLoS Computational Biology, August 2009
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Readers on

mendeley
535 Mendeley
citeulike
9 CiteULike
Title
Interpreting Expression Data with Metabolic Flux Models: Predicting Mycobacterium tuberculosis Mycolic Acid Production
Published in
PLoS Computational Biology, August 2009
DOI 10.1371/journal.pcbi.1000489
Pubmed ID
Authors

Caroline Colijn, Aaron Brandes, Jeremy Zucker, Desmond S. Lun, Brian Weiner, Maha R. Farhat, Tan-Yun Cheng, D. Branch Moody, Megan Murray, James E. Galagan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 535 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 16 3%
Germany 7 1%
Iran, Islamic Republic of 3 <1%
Colombia 2 <1%
Chile 2 <1%
Luxembourg 2 <1%
Denmark 2 <1%
Netherlands 1 <1%
Australia 1 <1%
Other 16 3%
Unknown 483 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 147 27%
Researcher 113 21%
Student > Master 82 15%
Professor > Associate Professor 25 5%
Student > Doctoral Student 25 5%
Other 85 16%
Unknown 58 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 216 40%
Biochemistry, Genetics and Molecular Biology 90 17%
Computer Science 51 10%
Engineering 38 7%
Chemical Engineering 17 3%
Other 51 10%
Unknown 72 13%