You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
| Title |
A Review of Feature Selection Methods for Machine Learning-Based Disease Risk Prediction
|
|---|---|
| Published in |
Frontiers in Bioinformatics, June 2022
|
| DOI | 10.3389/fbinf.2022.927312 |
| Pubmed ID | |
| Authors |
Nicholas Pudjihartono, Tayaza Fadason, Andreas W. Kempa-Liehr, Justin M. O'Sullivan |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 20% |
| Sweden | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 80% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 366 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 366 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 10% |
| Student > Master | 36 | 10% |
| Lecturer | 20 | 5% |
| Unspecified | 19 | 5% |
| Student > Bachelor | 19 | 5% |
| Other | 44 | 12% |
| Unknown | 192 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 61 | 17% |
| Engineering | 30 | 8% |
| Unspecified | 19 | 5% |
| Medicine and Dentistry | 10 | 3% |
| Agricultural and Biological Sciences | 9 | 2% |
| Other | 41 | 11% |
| Unknown | 196 | 54% |