You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
CCRaVAT and QuTie - enabling analysis of rare variants in large-scale case control and quantitative trait association studies
|
|---|---|
| Published in |
BMC Bioinformatics, October 2010
|
| DOI | 10.1186/1471-2105-11-527 |
| Pubmed ID | |
| Authors |
Robert Lawrence, Aaron G Day-Williams, Katherine S Elliott, Andrew P Morris, Eleftheria Zeggini |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 6% |
| United States | 2 | 4% |
| Unknown | 43 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 33% |
| Student > Ph. D. Student | 12 | 25% |
| Other | 5 | 10% |
| Professor | 4 | 8% |
| Professor > Associate Professor | 4 | 8% |
| Other | 5 | 10% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 52% |
| Biochemistry, Genetics and Molecular Biology | 8 | 17% |
| Medicine and Dentistry | 4 | 8% |
| Computer Science | 3 | 6% |
| Engineering | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 2 | 4% |