| Title |
Urolithiasisforschung – Big Data und künstliche Intelligenz
|
|---|---|
| Published in |
Die Urologie, September 2019
|
| DOI | 10.1007/s00120-019-01032-8 |
| Pubmed ID | |
| Authors |
M. Schönthaler, Friederike Praus |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Student > Doctoral Student | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Researcher | 2 | 6% |
| Other | 10 | 30% |
| Unknown | 9 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 15% |
| Nursing and Health Professions | 4 | 12% |
| Medicine and Dentistry | 4 | 12% |
| Engineering | 3 | 9% |
| Business, Management and Accounting | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 10 | 30% |