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Mendeley readers
| Title |
Comparison of automated candidate gene prediction systems using genes implicated in type 2 diabetes by genome-wide association studies
|
|---|---|
| Published in |
BMC Bioinformatics, January 2009
|
| DOI | 10.1186/1471-2105-10-s1-s69 |
| Pubmed ID | |
| Authors |
Erdahl T Teber, Jason Y Liu, Sara Ballouz, Diane Fatkin, Merridee A Wouters |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Canada | 1 | 2% |
| Tunisia | 1 | 2% |
| Greece | 1 | 2% |
| Belgium | 1 | 2% |
| Unknown | 36 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 31% |
| Researcher | 9 | 21% |
| Professor > Associate Professor | 5 | 12% |
| Student > Master | 4 | 10% |
| Student > Bachelor | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 3 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 48% |
| Medicine and Dentistry | 9 | 21% |
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Computer Science | 4 | 10% |
| Mathematics | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 4 | 10% |