| Title |
Real-time tracking of self-reported symptoms to predict potential COVID-19
|
|---|---|
| Published in |
Nature Medicine, May 2020
|
| DOI | 10.1038/s41591-020-0916-2 |
| Pubmed ID | |
| Authors |
Cristina Menni, Ana M. Valdes, Maxim B. Freidin, Carole H. Sudre, Long H. Nguyen, David A. Drew, Sajaysurya Ganesh, Thomas Varsavsky, M. Jorge Cardoso, Julia S. El-Sayed Moustafa, Alessia Visconti, Pirro Hysi, Ruth C. E. Bowyer, Massimo Mangino, Mario Falchi, Jonathan Wolf, Sebastien Ourselin, Andrew T. Chan, Claire J. Steves, Tim D. Spector |
X Demographics
The data shown below were collected from the profiles of 3,357 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 | 415 | 12% |
| United Kingdom | 370 | 11% |
| Germany | 222 | 7% |
| India | 94 | 3% |
| Spain | 84 | 3% |
| Canada | 77 | 2% |
| Colombia | 73 | 2% |
| Ecuador | 56 | 2% |
| Australia | 40 | 1% |
| Other | 471 | 14% |
| Unknown | 1455 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2578 | 77% |
| Scientists | 407 | 12% |
| Practitioners (doctors, other healthcare professionals) | 296 | 9% |
| Science communicators (journalists, bloggers, editors) | 74 | 2% |
| Unknown | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1129 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 150 | 13% |
| Student > Master | 130 | 12% |
| Student > Bachelor | 118 | 10% |
| Student > Ph. D. Student | 107 | 9% |
| Other | 73 | 6% |
| Other | 230 | 20% |
| Unknown | 321 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 263 | 23% |
| Biochemistry, Genetics and Molecular Biology | 76 | 7% |
| Computer Science | 74 | 7% |
| Engineering | 52 | 5% |
| Agricultural and Biological Sciences | 49 | 4% |
| Other | 248 | 22% |
| Unknown | 367 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3003. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 April 2023.
All research outputs
#2,227
of 25,807,758 outputs
Outputs from Nature Medicine
#38
of 9,437 outputs
Outputs of similar age
#194
of 420,076 outputs
Outputs of similar age from Nature Medicine
#6
of 162 outputs
Altmetric has tracked 25,807,758 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,437 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 105.8. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 420,076 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.