| Title |
DeepHistone: a deep learning approach to predicting histone modifications
|
|---|---|
| Published in |
BMC Genomics, April 2019
|
| DOI | 10.1186/s12864-019-5489-4 |
| Pubmed ID | |
| Authors |
Qijin Yin, Mengmeng Wu, Qiao Liu, Hairong Lv, Rui Jiang |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 87 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 20% |
| Researcher | 11 | 13% |
| Student > Master | 11 | 13% |
| Student > Bachelor | 7 | 8% |
| Student > Doctoral Student | 4 | 5% |
| Other | 11 | 13% |
| Unknown | 26 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 21 | 24% |
| Computer Science | 16 | 18% |
| Engineering | 6 | 7% |
| Agricultural and Biological Sciences | 6 | 7% |
| Medicine and Dentistry | 5 | 6% |
| Other | 6 | 7% |
| Unknown | 27 | 31% |