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Timeline
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
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, August 2022
|
| 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 14% |
| Other | 2 | 9% |
| Lecturer | 1 | 5% |
| Unspecified | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 11 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 3 | 14% |
| Medicine and Dentistry | 3 | 14% |
| Nursing and Health Professions | 2 | 9% |
| Unspecified | 1 | 5% |
| Decision Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 50% |