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X Demographics
Mendeley readers
| Title |
Reliable and Interpretable Mortality Prediction With Strong Foresight in COVID-19 Patients: An International Study From China and Germany
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, September 2021
|
| DOI | 10.3389/frai.2021.672050 |
| Pubmed ID | |
| Authors |
Tao Bai, Xue Zhu, Xiang Zhou, Denise Grathwohl, Pengshuo Yang, Yuguo Zha, Yu Jin, Hui Chong, Qingyang Yu, Nora Isberner, Dongke Wang, Lei Zhang, K. Martin Kortüm, Jun Song, Leo Rasche, Hermann Einsele, Kang Ning, Xiaohua Hou |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
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 > Bachelor | 2 | 13% |
| Student > Ph. D. Student | 2 | 13% |
| Other | 1 | 7% |
| Librarian | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 8 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 13% |
| Environmental Science | 1 | 7% |
| Chemical Engineering | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Social Sciences | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 9 | 60% |