| Title |
Attributes and predictors of Long-COVID: analysis of COVID cases and their symptoms collected by the Covid Symptoms Study App
|
|---|---|
| Published in |
medRxiv, October 2020
|
| DOI | 10.1101/2020.10.19.20214494 |
| Authors |
Carole H. Sudre, Benjamin Murray, Thomas Varsavsky, Mark S. Graham, Rose S. Penfold, Ruth C. Bowyer, Joan Capdevila Pujol, Kerstin Klaser, Michela Antonelli, Liane S. Canas, Erika Molteni, Marc Modat, M. Jorge Cardoso, Anna May, Sajaysurya Ganesh, Richard Davies, Long H Nguyen, David A. Drew, Christina M. Astley, Amit D. Joshi, Jordi Merino, Neli Tsereteli, Tove Fall, Maria F. Gomez, Emma L. Duncan, Cristina Menni, Frances M.K. Williams, Paul W. Franks, Andrew T. Chan, Jonathan Wolf, Sebastien Ourselin, Tim Spector, Claire J. Steves |
X Demographics
The data shown below were collected from the profiles of 493 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 | 60 | 12% |
| United Kingdom | 38 | 8% |
| Germany | 23 | 5% |
| Canada | 20 | 4% |
| Sweden | 16 | 3% |
| Australia | 14 | 3% |
| Netherlands | 10 | 2% |
| Spain | 8 | 2% |
| France | 8 | 2% |
| Other | 50 | 10% |
| Unknown | 246 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 384 | 78% |
| Scientists | 61 | 12% |
| Practitioners (doctors, other healthcare professionals) | 35 | 7% |
| Science communicators (journalists, bloggers, editors) | 13 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 302 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 302 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 46 | 15% |
| Student > Bachelor | 30 | 10% |
| Other | 29 | 10% |
| Student > Master | 29 | 10% |
| Student > Postgraduate | 22 | 7% |
| Other | 64 | 21% |
| Unknown | 82 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 76 | 25% |
| Nursing and Health Professions | 27 | 9% |
| Biochemistry, Genetics and Molecular Biology | 18 | 6% |
| Social Sciences | 14 | 5% |
| Psychology | 9 | 3% |
| Other | 53 | 18% |
| Unknown | 105 | 35% |