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.
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Mendeley readers
| Title |
A Machine Learning-Based Predictive Model for Predicting Lymph Node Metastasis in Patients With Ewing’s Sarcoma
|
|---|---|
| Published in |
Frontiers in Medicine, April 2022
|
| DOI | 10.3389/fmed.2022.832108 |
| Pubmed ID | |
| Authors |
Wenle Li, Qian Zhou, Wencai Liu, Chan Xu, Zhi-Ri Tang, Shengtao Dong, Haosheng Wang, Wanying Li, Kai Zhang, Rong Li, Wenshi Zhang, Zhaohui Hu, Su Shibin, Qiang Liu, Sirui Kuang, Chengliang Yin |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 20% |
| Student > Bachelor | 2 | 13% |
| Researcher | 2 | 13% |
| Student > Master | 1 | 7% |
| Unknown | 7 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 20% |
| Medicine and Dentistry | 2 | 13% |
| Veterinary Science and Veterinary Medicine | 1 | 7% |
| Economics, Econometrics and Finance | 1 | 7% |
| Computer Science | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 7 | 47% |