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Mendeley readers
Title |
Using machine learning techniques for rationalising phenotypic readouts from a rat sleeping model
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Published in |
Journal of Cheminformatics, March 2013
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DOI | 10.1186/1758-2946-5-s1-p34 |
Authors |
Georgios Drakakis, Alexios Koutsoukas, Suzanne Clare Brewerton, David DE Evans, Andreas Bender |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 14% |
Unknown | 6 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 43% |
Student > Master | 2 | 29% |
Professor > Associate Professor | 1 | 14% |
Student > Ph. D. Student | 1 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 4 | 57% |
Biochemistry, Genetics and Molecular Biology | 1 | 14% |
Agricultural and Biological Sciences | 1 | 14% |
Mathematics | 1 | 14% |