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Quantifying uncertainty, variability and likelihood for ordinary differential equation models

Overview of attention for article published in BMC Systems Biology, October 2010
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Citations

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70 Mendeley
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3 CiteULike
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Title
Quantifying uncertainty, variability and likelihood for ordinary differential equation models
Published in
BMC Systems Biology, October 2010
DOI 10.1186/1752-0509-4-144
Pubmed ID
Authors

Andrea Y Weiße, Richard H Middleton, Wilhelm Huisinga

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 3 4%
United Kingdom 2 3%
Brazil 1 1%
Japan 1 1%
Netherlands 1 1%
Unknown 62 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 24%
Student > Ph. D. Student 15 21%
Professor > Associate Professor 9 13%
Professor 7 10%
Lecturer 5 7%
Other 12 17%
Unknown 5 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 27%
Mathematics 16 23%
Biochemistry, Genetics and Molecular Biology 6 9%
Engineering 5 7%
Computer Science 4 6%
Other 9 13%
Unknown 11 16%