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Maximizing the Information Content of Experiments in Systems Biology

Overview of attention for article published in PLoS Computational Biology, January 2013
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25 X users

Citations

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Readers on

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317 Mendeley
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12 CiteULike
Title
Maximizing the Information Content of Experiments in Systems Biology
Published in
PLoS Computational Biology, January 2013
DOI 10.1371/journal.pcbi.1002888
Pubmed ID
Authors

Juliane Liepe, Sarah Filippi, Michał Komorowski, Michael P. H. Stumpf

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X Demographics

The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 317 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 15 5%
United Kingdom 8 3%
France 4 1%
Hungary 2 <1%
Indonesia 2 <1%
Japan 2 <1%
Germany 2 <1%
Brazil 2 <1%
Malaysia 1 <1%
Other 9 3%
Unknown 270 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 91 29%
Researcher 84 26%
Student > Master 32 10%
Professor > Associate Professor 15 5%
Professor 15 5%
Other 53 17%
Unknown 27 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 110 35%
Engineering 44 14%
Biochemistry, Genetics and Molecular Biology 32 10%
Computer Science 22 7%
Mathematics 17 5%
Other 51 16%
Unknown 41 13%