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Mendeley readers
Title |
Approximate Bayesian computation schemes for parameter inference of discrete stochastic models using simulated likelihood density
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Published in |
BMC Bioinformatics, November 2014
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DOI | 10.1186/1471-2105-15-s12-s3 |
Pubmed ID | |
Authors |
Qianqian Wu, Kate Smith-Miles, Tianhai Tian |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 4% |
Unknown | 22 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 35% |
Professor | 3 | 13% |
Student > Bachelor | 2 | 9% |
Professor > Associate Professor | 2 | 9% |
Student > Ph. D. Student | 2 | 9% |
Other | 4 | 17% |
Unknown | 2 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Mathematics | 5 | 22% |
Biochemistry, Genetics and Molecular Biology | 3 | 13% |
Agricultural and Biological Sciences | 3 | 13% |
Computer Science | 3 | 13% |
Engineering | 2 | 9% |
Other | 4 | 17% |
Unknown | 3 | 13% |