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 |
Identifying disease associations via genome-wide association studies
|
|---|---|
| Published in |
BMC Bioinformatics, January 2009
|
| DOI | 10.1186/1471-2105-10-s1-s68 |
| Pubmed ID | |
| Authors |
Wenhui Huang, Pengyuan Wang, Zhen Liu, Liqing Zhang |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 9% |
| Greece | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 50 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 21% |
| Student > Ph. D. Student | 10 | 18% |
| Professor > Associate Professor | 8 | 14% |
| Student > Doctoral Student | 4 | 7% |
| Professor | 4 | 7% |
| Other | 13 | 23% |
| Unknown | 6 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 37% |
| Medicine and Dentistry | 17 | 30% |
| Computer Science | 6 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Business, Management and Accounting | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 8 | 14% |