The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
| Title |
Identification of Urinary Exosomal miRNAs for the Non-Invasive Diagnosis of Prostate Cancer
|
|---|---|
| Published in |
Cancer Management and Research, January 2021
|
| DOI | 10.2147/cmar.s272140 |
| Pubmed ID | |
| Authors |
Zhuo Li, La-Xiu Li, Yan-Jun Diao, Juan Wang, Yun Ye, Xiao-Ke Hao |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 20% |
| Researcher | 5 | 17% |
| Student > Master | 3 | 10% |
| Student > Doctoral Student | 2 | 7% |
| Lecturer | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 12 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 20% |
| Medicine and Dentistry | 3 | 10% |
| Computer Science | 2 | 7% |
| Nursing and Health Professions | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 16 | 53% |