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Mendeley readers
| Title |
Detecting disease-associated genes with confounding variable adjustment and the impact on genomic meta-analysis: With application to major depressive disorder
|
|---|---|
| Published in |
BMC Bioinformatics, March 2012
|
| DOI | 10.1186/1471-2105-13-52 |
| Pubmed ID | |
| Authors |
Xingbin Wang, Yan Lin, Chi Song, Etienne Sibille, George C Tseng |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| United States | 1 | 1% |
| Ukraine | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 64 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 26% |
| Student > Ph. D. Student | 17 | 25% |
| Student > Master | 5 | 7% |
| Student > Doctoral Student | 5 | 7% |
| Student > Bachelor | 4 | 6% |
| Other | 10 | 14% |
| Unknown | 10 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 23% |
| Biochemistry, Genetics and Molecular Biology | 10 | 14% |
| Medicine and Dentistry | 10 | 14% |
| Computer Science | 5 | 7% |
| Psychology | 3 | 4% |
| Other | 10 | 14% |
| Unknown | 15 | 22% |