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.
Mendeley readers
| Title |
Comparison of Methods for Feature Selection in Clustering of High-Dimensional RNA-Sequencing Data to Identify Cancer Subtypes
|
|---|---|
| Published in |
Frontiers in Genetics, February 2021
|
| DOI | 10.3389/fgene.2021.632620 |
| Pubmed ID | |
| Authors |
David Källberg, Linda Vidman, Patrik Rydén |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 13% |
| Student > Master | 5 | 13% |
| Student > Ph. D. Student | 5 | 13% |
| Researcher | 4 | 10% |
| Lecturer | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 16 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 13% |
| Engineering | 3 | 8% |
| Agricultural and Biological Sciences | 3 | 8% |
| Immunology and Microbiology | 2 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 6 | 15% |
| Unknown | 19 | 49% |