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Mendeley readers
| Title |
Improving accuracy of estimating glomerular filtration rate using artificial neural network: model development and validation
|
|---|---|
| Published in |
Journal of Translational Medicine, March 2020
|
| DOI | 10.1186/s12967-020-02287-y |
| Pubmed ID | |
| Authors |
Ningshan Li, Hui Huang, Han-Zhu Qian, Peijia Liu, Hui Lu, Xun Liu |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 27% |
| Student > Master | 3 | 20% |
| Student > Doctoral Student | 1 | 7% |
| Unspecified | 1 | 7% |
| Other | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 4 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 27% |
| Unspecified | 1 | 7% |
| Computer Science | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Immunology and Microbiology | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 6 | 40% |