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Optimal experiment selection for parameter estimation in biological differential equation models

Overview of attention for article published in BMC Bioinformatics, July 2012
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Title
Optimal experiment selection for parameter estimation in biological differential equation models
Published in
BMC Bioinformatics, July 2012
DOI 10.1186/1471-2105-13-181
Pubmed ID
Authors

Mark K Transtrum, Peng Qiu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 7%
Netherlands 2 3%
Malaysia 1 1%
Hungary 1 1%
Sweden 1 1%
Germany 1 1%
Unknown 59 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 31%
Researcher 17 24%
Professor > Associate Professor 10 14%
Student > Bachelor 4 6%
Student > Master 4 6%
Other 8 11%
Unknown 5 7%
Readers by discipline Count As %
Computer Science 14 20%
Agricultural and Biological Sciences 13 19%
Engineering 7 10%
Physics and Astronomy 7 10%
Mathematics 5 7%
Other 15 21%
Unknown 9 13%