| Title |
HLA Diversity in the 1000 Genomes Dataset
|
|---|---|
| Published in |
PLOS ONE, July 2014
|
| DOI | 10.1371/journal.pone.0097282 |
| Pubmed ID | |
| Authors |
Pierre-Antoine Gourraud, Pouya Khankhanian, Nezih Cereb, Soo Young Yang, Michael Feolo, Martin Maiers, John D. Rioux, Stephen Hauser, Jorge Oksenberg |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 9% |
| United States | 1 | 9% |
| Netherlands | 1 | 9% |
| Sweden | 1 | 9% |
| Unknown | 7 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Scientists | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Brazil | 3 | 2% |
| Germany | 1 | <1% |
| Malaysia | 1 | <1% |
| Sri Lanka | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 180 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 21% |
| Researcher | 39 | 21% |
| Student > Bachelor | 21 | 11% |
| Other | 16 | 8% |
| Student > Master | 16 | 8% |
| Other | 31 | 16% |
| Unknown | 27 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 52 | 27% |
| Agricultural and Biological Sciences | 51 | 27% |
| Computer Science | 13 | 7% |
| Medicine and Dentistry | 11 | 6% |
| Immunology and Microbiology | 8 | 4% |
| Other | 18 | 9% |
| Unknown | 37 | 19% |