| Title |
Multi-SNP Analysis of GWAS Data Identifies Pathways Associated with Nonalcoholic Fatty Liver Disease
|
|---|---|
| Published in |
PLOS ONE, July 2013
|
| DOI | 10.1371/journal.pone.0065982 |
| Pubmed ID | |
| Authors |
Qing-Rong Chen, Rosemary Braun, Ying Hu, Chunhua Yan, Elizabeth M. Brunt, Daoud Meerzaman, Arun J. Sanyal, Kenneth Buetow |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Sweden | 1 | 1% |
| France | 1 | 1% |
| Denmark | 1 | 1% |
| United Kingdom | 1 | 1% |
| Unknown | 69 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 28% |
| Other | 8 | 11% |
| Student > Ph. D. Student | 7 | 9% |
| Student > Master | 6 | 8% |
| Student > Bachelor | 5 | 7% |
| Other | 16 | 21% |
| Unknown | 12 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 25% |
| Medicine and Dentistry | 17 | 23% |
| Biochemistry, Genetics and Molecular Biology | 10 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Computer Science | 2 | 3% |
| Other | 8 | 11% |
| Unknown | 16 | 21% |