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 |
Understanding the need for digital twins’ data in patient advocacy and forecasting oncology
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, November 2023
|
| DOI | 10.3389/frai.2023.1260361 |
| Pubmed ID | |
| Authors |
Hung-Ching Chang, Antony M. Gitau, Siri Kothapalli, Danny R. Welch, Mihaela E. Sardiu, Matthew D. McCoy |
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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 2 | 18% |
| Unspecified | 1 | 9% |
| Student > Doctoral Student | 1 | 9% |
| Student > Master | 1 | 9% |
| Unknown | 6 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 9% |
| Computer Science | 1 | 9% |
| Social Sciences | 1 | 9% |
| Medicine and Dentistry | 1 | 9% |
| Engineering | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 6 | 55% |