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Mendeley readers
| Title |
Unsupervised deep learning reveals prognostically relevant subtypes of glioblastoma
|
|---|---|
| Published in |
BMC Bioinformatics, October 2017
|
| DOI | 10.1186/s12859-017-1798-2 |
| Pubmed ID | |
| Authors |
Jonathan D. Young, Chunhui Cai, Xinghua Lu |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 135 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 18% |
| Researcher | 21 | 16% |
| Student > Master | 14 | 10% |
| Student > Bachelor | 10 | 7% |
| Student > Postgraduate | 10 | 7% |
| Other | 19 | 14% |
| Unknown | 37 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 21 | 16% |
| Computer Science | 21 | 16% |
| Medicine and Dentistry | 17 | 13% |
| Agricultural and Biological Sciences | 12 | 9% |
| Engineering | 5 | 4% |
| Other | 18 | 13% |
| Unknown | 41 | 30% |