The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| 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 | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 19% |
| Researcher | 5 | 16% |
| Student > Master | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Unspecified | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 12 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 19% |
| Medicine and Dentistry | 3 | 9% |
| Unspecified | 2 | 6% |
| Computer Science | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 16 | 50% |