| Title |
Using Functional Annotation for the Empirical Determination of Bayes Factors for Genome-Wide Association Study Analysis
|
|---|---|
| Published in |
PLOS ONE, April 2011
|
| DOI | 10.1371/journal.pone.0014808 |
| Pubmed ID | |
| Authors |
Jo Knight, Michael R. Barnes, Gerome Breen, Michael E. Weale |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| Norway | 1 | 2% |
| Netherlands | 1 | 2% |
| Canada | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 51 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 33% |
| Student > Ph. D. Student | 14 | 24% |
| Professor > Associate Professor | 7 | 12% |
| Professor | 4 | 7% |
| Student > Bachelor | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 5 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 45% |
| Biochemistry, Genetics and Molecular Biology | 13 | 22% |
| Computer Science | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Nursing and Health Professions | 2 | 3% |
| Other | 5 | 9% |
| Unknown | 6 | 10% |