| Title |
Longitudinal remotely mentored self-performed lung ultrasound surveillance of paucisymptomatic Covid-19 patients at risk of disease progression
|
|---|---|
| Published in |
The Ultrasound Journal, May 2021
|
| DOI | 10.1186/s13089-021-00231-9 |
| Pubmed ID | |
| Authors |
Andrew W. Kirkpatrick, Jessica L. McKee, John M. Conly |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 15% |
| Student > Master | 4 | 10% |
| Other | 3 | 7% |
| Professor > Associate Professor | 3 | 7% |
| Student > Doctoral Student | 2 | 5% |
| Other | 9 | 22% |
| Unknown | 14 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 22% |
| Nursing and Health Professions | 4 | 10% |
| Psychology | 3 | 7% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 6 | 15% |
| Unknown | 17 | 41% |