| Title |
Mechanistic Phenotypes: An Aggregative Phenotyping Strategy to Identify Disease Mechanisms Using GWAS Data
|
|---|---|
| Published in |
PLOS ONE, December 2013
|
| DOI | 10.1371/journal.pone.0081503 |
| Pubmed ID | |
| Authors |
Jonathan D. Mosley, Sara L. Van Driest, Emma K. Larkin, Peter E. Weeke, John S. Witte, Quinn S. Wells, Jason H. Karnes, Yan Guo, Lisa Bastarache, Lana M. Olson, Catherine A. McCarty, Jennifer A. Pacheco, Gail P. Jarvik, David S. Carrell, Eric B. Larson, David R. Crosslin, Iftikhar J. Kullo, Gerard Tromp, Helena Kuivaniemi, David J. Carey, Marylyn D. Ritchie, Josh C. Denny, Dan M. Roden |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 5% |
| United States | 2 | 5% |
| Spain | 1 | 2% |
| Unknown | 36 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 24% |
| Researcher | 8 | 20% |
| Professor | 5 | 12% |
| Student > Master | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 7 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 22% |
| Biochemistry, Genetics and Molecular Biology | 7 | 17% |
| Agricultural and Biological Sciences | 6 | 15% |
| Computer Science | 3 | 7% |
| Mathematics | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 10 | 24% |