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.
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Timeline
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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 2 | 17% |
Professor > Associate Professor | 2 | 17% |
Student > Doctoral Student | 1 | 8% |
Student > Master | 1 | 8% |
Unknown | 6 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 2 | 17% |
Computer Science | 1 | 8% |
Social Sciences | 1 | 8% |
Medicine and Dentistry | 1 | 8% |
Engineering | 1 | 8% |
Other | 0 | 0% |
Unknown | 6 | 50% |