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Mendeley readers
| Title |
Assessment of a non-invasive high-throughput classifier for behaviours associated with sleep and wake in mice
|
|---|---|
| Published in |
BioMedical Engineering OnLine, April 2008
|
| DOI | 10.1186/1475-925x-7-14 |
| Pubmed ID | |
| Authors |
Kevin D Donohue, Dharshan C Medonza, Eli R Crane, Bruce F O'Hara |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 5% |
| Japan | 1 | 1% |
| Portugal | 1 | 1% |
| France | 1 | 1% |
| Unknown | 70 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 25% |
| Researcher | 14 | 18% |
| Student > Doctoral Student | 10 | 13% |
| Student > Master | 8 | 10% |
| Student > Bachelor | 6 | 8% |
| Other | 12 | 16% |
| Unknown | 8 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 26% |
| Neuroscience | 15 | 19% |
| Engineering | 7 | 9% |
| Biochemistry, Genetics and Molecular Biology | 6 | 8% |
| Social Sciences | 3 | 4% |
| Other | 11 | 14% |
| Unknown | 15 | 19% |