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X Demographics
Mendeley readers
| Title |
When Patients Recover From COVID-19: Data-Driven Insights From Wearable Technologies
|
|---|---|
| Published in |
Frontiers in Big Data, April 2022
|
| DOI | 10.3389/fdata.2022.801998 |
| Pubmed ID | |
| Authors |
Muzhe Guo, Long Nguyen, Hongfei Du, Fang Jin |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 20% |
| Student > Doctoral Student | 1 | 20% |
| Student > Master | 1 | 20% |
| Unknown | 2 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 20% |
| Chemistry | 1 | 20% |
| Medicine and Dentistry | 1 | 20% |
| Unknown | 2 | 40% |