| Title |
Predictive Power Estimation Algorithm (PPEA) - A New Algorithm to Reduce Overfitting for Genomic Biomarker Discovery
|
|---|---|
| Published in |
PLOS ONE, September 2011
|
| DOI | 10.1371/journal.pone.0024233 |
| Pubmed ID | |
| Authors |
Jiangang Liu, Robert A. Jolly, Aaron T. Smith, George H. Searfoss, Keith M. Goldstein, Vladimir N. Uversky, Keith Dunker, Shuyu Li, Craig E. Thomas, Tao Wei |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Denmark | 1 | 4% |
| Italy | 1 | 4% |
| South Africa | 1 | 4% |
| Unknown | 20 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 25% |
| Student > Ph. D. Student | 6 | 25% |
| Other | 3 | 13% |
| Professor | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Other | 1 | 4% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 38% |
| Biochemistry, Genetics and Molecular Biology | 4 | 17% |
| Computer Science | 2 | 8% |
| Engineering | 2 | 8% |
| Medicine and Dentistry | 2 | 8% |
| Other | 1 | 4% |
| Unknown | 4 | 17% |