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Mendeley readers
| Title |
BayesPeak: Bayesian analysis of ChIP-seq data
|
|---|---|
| Published in |
BMC Bioinformatics, September 2009
|
| DOI | 10.1186/1471-2105-10-299 |
| Pubmed ID | |
| Authors |
Christiana Spyrou, Rory Stark, Andy G Lynch, Simon Tavaré |
Mendeley readers
The data shown below were compiled from readership statistics for 275 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 17 | 6% |
| United Kingdom | 8 | 3% |
| Brazil | 4 | 1% |
| France | 3 | 1% |
| Austria | 2 | <1% |
| Germany | 1 | <1% |
| Australia | 1 | <1% |
| Sweden | 1 | <1% |
| Switzerland | 1 | <1% |
| Other | 8 | 3% |
| Unknown | 229 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 91 | 33% |
| Student > Ph. D. Student | 86 | 31% |
| Student > Master | 20 | 7% |
| Professor > Associate Professor | 19 | 7% |
| Other | 11 | 4% |
| Other | 36 | 13% |
| Unknown | 12 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 163 | 59% |
| Biochemistry, Genetics and Molecular Biology | 43 | 16% |
| Computer Science | 24 | 9% |
| Mathematics | 11 | 4% |
| Medicine and Dentistry | 10 | 4% |
| Other | 12 | 4% |
| Unknown | 12 | 4% |