The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Title |
Mortality Prediction in Cardiac Intensive Care Unit Patients: A Systematic Review of Existing and Artificial Intelligence Augmented Approaches
|
---|---|
Published in |
Frontiers in Artificial Intelligence, May 2022
|
DOI | 10.3389/frai.2022.876007 |
Pubmed ID | |
Authors |
Nikita Rafie, Jacob C. Jentzer, Peter A. Noseworthy, Anthony H. Kashou |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 33% |
United Kingdom | 1 | 17% |
Switzerland | 1 | 17% |
Unknown | 2 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 11% |
Student > Ph. D. Student | 1 | 5% |
Student > Doctoral Student | 1 | 5% |
Lecturer | 1 | 5% |
Student > Bachelor | 1 | 5% |
Other | 1 | 5% |
Unknown | 12 | 63% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 16% |
Unspecified | 1 | 5% |
Nursing and Health Professions | 1 | 5% |
Environmental Science | 1 | 5% |
Computer Science | 1 | 5% |
Other | 1 | 5% |
Unknown | 11 | 58% |