Title |
Conditional Random Fields for Fast, Large-Scale Genome-Wide Association Studies
|
---|---|
Published in |
PLOS ONE, July 2011
|
DOI | 10.1371/journal.pone.0021591 |
Pubmed ID | |
Authors |
Jim C. Huang, Christopher Meek, Carl Kadie, David Heckerman |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 3% |
France | 1 | 3% |
Unknown | 36 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 15 | 39% |
Student > Ph. D. Student | 9 | 24% |
Professor > Associate Professor | 4 | 11% |
Student > Master | 3 | 8% |
Other | 2 | 5% |
Other | 3 | 8% |
Unknown | 2 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 15 | 39% |
Computer Science | 8 | 21% |
Mathematics | 4 | 11% |
Medicine and Dentistry | 3 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Other | 4 | 11% |
Unknown | 3 | 8% |