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Mendeley readers
| Title |
Learning gene regulatory networks from only positive and unlabeled data
|
|---|---|
| Published in |
BMC Bioinformatics, May 2010
|
| DOI | 10.1186/1471-2105-11-228 |
| Pubmed ID | |
| Authors |
Luigi Cerulo, Charles Elkan, Michele Ceccarelli |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 3% |
| Germany | 2 | 2% |
| United Kingdom | 2 | 2% |
| China | 2 | 2% |
| India | 1 | <1% |
| France | 1 | <1% |
| Turkey | 1 | <1% |
| Spain | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 96 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 31% |
| Researcher | 21 | 19% |
| Student > Master | 11 | 10% |
| Professor | 8 | 7% |
| Professor > Associate Professor | 7 | 6% |
| Other | 20 | 18% |
| Unknown | 10 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 39 | 35% |
| Agricultural and Biological Sciences | 28 | 25% |
| Biochemistry, Genetics and Molecular Biology | 10 | 9% |
| Medicine and Dentistry | 7 | 6% |
| Engineering | 5 | 5% |
| Other | 7 | 6% |
| Unknown | 15 | 14% |