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Mendeley readers
| Title |
Comparing machine learning and logistic regression methods for predicting hypertension using a combination of gene expression and next-generation sequencing data
|
|---|---|
| Published in |
BMC Proceedings, October 2016
|
| DOI | 10.1186/s12919-016-0020-2 |
| Pubmed ID | |
| Authors |
Elizabeth Held, Joshua Cape, Nathan Tintle |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 21% |
| Student > Master | 9 | 16% |
| Researcher | 6 | 10% |
| Student > Doctoral Student | 6 | 10% |
| Student > Bachelor | 3 | 5% |
| Other | 12 | 21% |
| Unknown | 10 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 17% |
| Computer Science | 10 | 17% |
| Engineering | 5 | 9% |
| Mathematics | 4 | 7% |
| Agricultural and Biological Sciences | 3 | 5% |
| Other | 14 | 24% |
| Unknown | 12 | 21% |