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 1,219 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 | 1178 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 309 | 25% |
Researcher | 195 | 16% |
Student > Master | 147 | 12% |
Student > Bachelor | 100 | 8% |
Student > Doctoral Student | 65 | 5% |
Other | 154 | 13% |
Unknown | 249 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 308 | 25% |
Biochemistry, Genetics and Molecular Biology | 272 | 22% |
Computer Science | 148 | 12% |
Engineering | 45 | 4% |
Medicine and Dentistry | 35 | 3% |
Other | 127 | 10% |
Unknown | 284 | 23% |