| Title |
Identification of key pathways and genes in PTEN mutation prostate cancer by bioinformatics analysis
|
|---|---|
| Published in |
BMC Medical Genomics, December 2019
|
| DOI | 10.1186/s12881-019-0923-7 |
| Pubmed ID | |
| Authors |
Jian Sun, Shugen Li, Fei Wang, Caibin Fan, Jianqing Wang |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 15% |
| Researcher | 5 | 13% |
| Student > Bachelor | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Professor > Associate Professor | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 17 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 18% |
| Biochemistry, Genetics and Molecular Biology | 6 | 15% |
| Social Sciences | 2 | 5% |
| Agricultural and Biological Sciences | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 6 | 15% |
| Unknown | 17 | 43% |