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.
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X Demographics
Mendeley readers
| Title |
Medical Information Mart for Intensive Care: A Foundation for the Fusion of Artificial Intelligence and Real-World Data
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, May 2021
|
| DOI | 10.3389/frai.2021.691626 |
| Pubmed ID | |
| Authors |
Paul Rogers, Dong Wang, Zhiyuan Lu |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 22% |
| Researcher | 3 | 13% |
| Professor | 2 | 9% |
| Student > Ph. D. Student | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 9 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 13% |
| Business, Management and Accounting | 2 | 9% |
| Medicine and Dentistry | 2 | 9% |
| Engineering | 2 | 9% |
| Nursing and Health Professions | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 9 | 39% |