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Mendeley readers
| Title |
Identifying hypothetical genetic influences on complex disease phenotypes
|
|---|---|
| Published in |
BMC Bioinformatics, February 2009
|
| DOI | 10.1186/1471-2105-10-s2-s13 |
| Pubmed ID | |
| Authors |
Benjamin J Keller, Richard C McEachin |
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 % |
|---|---|---|
| Greece | 1 | 14% |
| Belgium | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 100% |
| Researcher | 4 | 57% |
| Professor > Associate Professor | 2 | 29% |
| Professor | 2 | 29% |
| Lecturer > Senior Lecturer | 1 | 14% |
| Other | 2 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 86% |
| Medicine and Dentistry | 4 | 57% |
| Computer Science | 3 | 43% |
| Biochemistry, Genetics and Molecular Biology | 3 | 43% |
| Immunology and Microbiology | 1 | 14% |
| Other | 1 | 14% |