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A Self-Organizing State-Space-Model Approach for Parameter Estimation in Hodgkin-Huxley-Type Models of Single Neurons

Overview of attention for article published in PLoS Computational Biology, March 2012
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Title
A Self-Organizing State-Space-Model Approach for Parameter Estimation in Hodgkin-Huxley-Type Models of Single Neurons
Published in
PLoS Computational Biology, March 2012
DOI 10.1371/journal.pcbi.1002401
Pubmed ID
Authors

Dimitrios V. Vavoulis, Volko A. Straub, John A. D. Aston, Jianfeng Feng

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 5%
United States 3 3%
Germany 2 2%
Belgium 2 2%
Brazil 1 1%
Spain 1 1%
Uruguay 1 1%
Unknown 76 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 29%
Researcher 20 22%
Student > Master 11 12%
Professor 7 8%
Other 5 5%
Other 14 15%
Unknown 8 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 23%
Engineering 15 16%
Mathematics 13 14%
Neuroscience 10 11%
Computer Science 8 9%
Other 13 14%
Unknown 11 12%