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Mendeley readers
| Title |
Mining tissue specificity, gene connectivity and disease association to reveal a set of genes that modify the action of disease causing genes
|
|---|---|
| Published in |
BioData Mining, September 2008
|
| DOI | 10.1186/1756-0381-1-8 |
| Pubmed ID | |
| Authors |
Antonio Reverter, Aaron Ingham, Brian P Dalrymple |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 2% |
| Brazil | 1 | 2% |
| United Kingdom | 1 | 2% |
| Canada | 1 | 2% |
| Belgium | 1 | 2% |
| Spain | 1 | 2% |
| Japan | 1 | 2% |
| Greece | 1 | 2% |
| United States | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 50 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 27% |
| Student > Ph. D. Student | 12 | 20% |
| Professor > Associate Professor | 8 | 14% |
| Student > Master | 5 | 8% |
| Student > Postgraduate | 4 | 7% |
| Other | 9 | 15% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 54% |
| Computer Science | 7 | 12% |
| Biochemistry, Genetics and Molecular Biology | 5 | 8% |
| Medicine and Dentistry | 4 | 7% |
| Physics and Astronomy | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 6 | 10% |