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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
The epidemiological impact of the NHS COVID-19 app
|
|---|---|
| Published in |
Nature, May 2021
|
| DOI | 10.1038/s41586-021-03606-z |
| Pubmed ID | |
| Authors |
Chris Wymant, Luca Ferretti, Daphne Tsallis, Marcos Charalambides, Lucie Abeler-Dörner, David Bonsall, Robert Hinch, Michelle Kendall, Luke Milsom, Matthew Ayres, Chris Holmes, Mark Briers, Christophe Fraser |
Twitter Demographics
The data shown below were collected from the profiles of 1,867 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 384 | 21% |
| United States | 114 | 6% |
| Japan | 68 | 4% |
| Germany | 62 | 3% |
| Canada | 46 | 2% |
| Spain | 38 | 2% |
| Italy | 36 | 2% |
| Sweden | 30 | 2% |
| France | 26 | 1% |
| Other | 205 | 11% |
| Unknown | 858 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1457 | 78% |
| Scientists | 282 | 15% |
| Practitioners (doctors, other healthcare professionals) | 70 | 4% |
| Science communicators (journalists, bloggers, editors) | 58 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 239 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 239 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 15% |
| Researcher | 35 | 15% |
| Student > Master | 18 | 8% |
| Other | 12 | 5% |
| Student > Bachelor | 12 | 5% |
| Other | 42 | 18% |
| Unknown | 84 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 12% |
| Social Sciences | 18 | 8% |
| Computer Science | 17 | 7% |
| Nursing and Health Professions | 9 | 4% |
| Psychology | 9 | 4% |
| Other | 60 | 25% |
| Unknown | 98 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1561. 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 03 July 2023.
All research outputs
#6,864
of 24,503,201 outputs
Outputs from Nature
#747
of 95,201 outputs
Outputs of similar age
#326
of 432,743 outputs
Outputs of similar age from Nature
#35
of 912 outputs
Altmetric has tracked 24,503,201 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 95,201 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 101.8. 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 432,743 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 912 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.