The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
| Title |
Automated Assessment of Peristomal Skin Discoloration and Leakage Area Using Artificial Intelligence
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, September 2020
|
| DOI | 10.3389/frai.2020.00072 |
| Pubmed ID | |
| Authors |
Niels K. Andersen, Pernille Trøjgaard, Nana O. Herschend, Zenia M. Størling |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
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 % |
|---|---|---|
| Researcher | 3 | 14% |
| Student > Ph. D. Student | 2 | 10% |
| Student > Bachelor | 2 | 10% |
| Student > Master | 1 | 5% |
| Professor > Associate Professor | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 12 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 3 | 14% |
| Unspecified | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Computer Science | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 12 | 57% |