| Title |
Inferring Regulatory Networks from Expression Data Using Tree-Based Methods
|
|---|---|
| Published in |
PLOS ONE, September 2010
|
| DOI | 10.1371/journal.pone.0012776 |
| Pubmed ID | |
| Authors |
Vân Anh Huynh-Thu, Alexandre Irrthum, Louis Wehenkel, Pierre Geurts |
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 % |
|---|---|---|
| Germany | 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 1,221 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 7 | <1% |
| United States | 5 | <1% |
| France | 4 | <1% |
| Belgium | 4 | <1% |
| Germany | 3 | <1% |
| Japan | 2 | <1% |
| Italy | 2 | <1% |
| Brazil | 2 | <1% |
| Sweden | 1 | <1% |
| Other | 11 | <1% |
| Unknown | 1180 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 310 | 25% |
| Researcher | 195 | 16% |
| Student > Master | 147 | 12% |
| Student > Bachelor | 100 | 8% |
| Student > Doctoral Student | 65 | 5% |
| Other | 155 | 13% |
| Unknown | 249 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 308 | 25% |
| Biochemistry, Genetics and Molecular Biology | 273 | 22% |
| Computer Science | 148 | 12% |
| Engineering | 45 | 4% |
| Medicine and Dentistry | 35 | 3% |
| Other | 128 | 10% |
| Unknown | 284 | 23% |