| Title |
The COVID-19 MS Coalition—accelerating diagnostics, prognostics, and treatment
|
|---|---|
| Published in |
The Lancet, May 2020
|
| DOI | 10.1016/s0140-6736(20)31211-3 |
| Pubmed ID | |
| Authors |
Weston Struwe, Edward Emmott, Melanie Bailey, Michal Sharon, Andrea Sinz, Fernando J Corrales, Kostas Thalassinos, Julian Braybrook, Clare Mills, Perdita Barran, COVID-19 MS Coalition |
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X Demographics
The data shown below were collected from the profiles of 78 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 Kingdom | 21 | 27% |
| Spain | 7 | 9% |
| Italy | 4 | 5% |
| Germany | 4 | 5% |
| Venezuela, Bolivarian Republic of | 3 | 4% |
| United States | 2 | 3% |
| Namibia | 1 | 1% |
| Brazil | 1 | 1% |
| Chile | 1 | 1% |
| Other | 6 | 8% |
| Unknown | 28 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 50 | 64% |
| Scientists | 20 | 26% |
| Science communicators (journalists, bloggers, editors) | 6 | 8% |
| Practitioners (doctors, other healthcare professionals) | 2 | 3% |
Mendeley demographics
The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 129 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 18% |
| Student > Bachelor | 13 | 10% |
| Student > Master | 13 | 10% |
| Other | 12 | 9% |
| Student > Ph. D. Student | 8 | 6% |
| Other | 29 | 22% |
| Unknown | 31 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 19% |
| Biochemistry, Genetics and Molecular Biology | 16 | 12% |
| Engineering | 9 | 7% |
| Chemistry | 8 | 6% |
| Agricultural and Biological Sciences | 6 | 5% |
| Other | 27 | 21% |
| Unknown | 39 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 110. 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 September 2026.
All research outputs
#478,704
of 34,302,672 outputs
Outputs from The Lancet
#4,408
of 51,850 outputs
Outputs of similar age
#11,779
of 458,511 outputs
Outputs of similar age from The Lancet
#163
of 378 outputs
Altmetric has tracked 34,302,672 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 51,850 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 63.1. This one has done particularly well, scoring higher than 91% 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 458,511 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 97% of its contemporaries.
We're also able to compare this research output to 378 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.