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 |
Analysis of common and coding variants with cardiovascular disease in the diabetes heart study
|
|---|---|
| Published in |
Cardiovascular Diabetology, April 2014
|
| DOI | 10.1186/1475-2840-13-77 |
| Pubmed ID | |
| Authors |
Jeremy N Adams, Laura M Raffield, Barry I Freedman, Carl D Langefeld, Maggie CY Ng, J Jeffrey Carr, Amanda J Cox, Donald W Bowden |
| Abstract |
Type 2 diabetes mellitus (T2DM) is a major cardiovascular disease (CVD) risk factor. Identification of genetic risk factors for CVD is important to understand disease risk. Two recent genome-wide association study (GWAS) meta-analyses in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium detected CVD-associated loci. |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Spain | 1 | 1% |
| Colombia | 1 | 1% |
| Belgium | 1 | 1% |
| Unknown | 81 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 15% |
| Student > Master | 11 | 13% |
| Researcher | 9 | 10% |
| Student > Bachelor | 8 | 9% |
| Professor > Associate Professor | 7 | 8% |
| Other | 24 | 28% |
| Unknown | 14 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 29% |
| Agricultural and Biological Sciences | 13 | 15% |
| Biochemistry, Genetics and Molecular Biology | 11 | 13% |
| Computer Science | 5 | 6% |
| Psychology | 3 | 3% |
| Other | 9 | 10% |
| Unknown | 20 | 23% |