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Mendeley readers
| Title |
iEnhancer-ECNN: identifying enhancers and their strength using ensembles of convolutional neural networks
|
|---|---|
| Published in |
BMC Genomics, December 2019
|
| DOI | 10.1186/s12864-019-6336-3 |
| Pubmed ID | |
| Authors |
Quang H. Nguyen, Thanh-Hoang Nguyen-Vo, Nguyen Quoc Khanh Le, Trang T.T. Do, Susanto Rahardja, Binh P. Nguyen |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 22% |
| Student > Ph. D. Student | 8 | 22% |
| Student > Postgraduate | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Student > Bachelor | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 10 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 27% |
| Biochemistry, Genetics and Molecular Biology | 7 | 19% |
| Agricultural and Biological Sciences | 2 | 5% |
| Social Sciences | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 0 | 0% |
| Unknown | 14 | 38% |