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X Demographics
Mendeley readers
Title |
Limiting medical certainties? Funding challenges for German and comparable public healthcare systems due to AI prediction and how to address them
|
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Published in |
Frontiers in Artificial Intelligence, August 2022
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DOI | 10.3389/frai.2022.913093 |
Pubmed ID | |
Authors |
Ulrich von Ulmenstein, Max Tretter, David B. Ehrlich, Christina Lauppert von Peharnik |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 50% |
South Africa | 1 | 17% |
Switzerland | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 14% |
Other | 2 | 10% |
Unspecified | 1 | 5% |
Researcher | 1 | 5% |
Student > Doctoral Student | 1 | 5% |
Other | 3 | 14% |
Unknown | 10 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 14% |
Business, Management and Accounting | 3 | 14% |
Nursing and Health Professions | 2 | 10% |
Unspecified | 1 | 5% |
Decision Sciences | 1 | 5% |
Other | 1 | 5% |
Unknown | 10 | 48% |