| Title |
What items should be included in an early warning score for remote assessment of suspected COVID-19? qualitative and Delphi study
|
|---|---|
| Published in |
BMJ Open, November 2020
|
| DOI | 10.1136/bmjopen-2020-042626 |
| Pubmed ID | |
| Authors |
Trisha Greenhalgh, Paul Thompson, Sietse Weiringa, Ana Luisa Neves, Laiba Husain, Merlin Dunlop, Alexander Rushforth, David Nunan, Simon de Lusignan, Brendan Delaney |
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X Demographics
The data shown below were collected from the profiles of 68 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 | 28 | 41% |
| Japan | 4 | 6% |
| United States | 3 | 4% |
| Sweden | 2 | 3% |
| Canada | 1 | 1% |
| Cyprus | 1 | 1% |
| Germany | 1 | 1% |
| Zimbabwe | 1 | 1% |
| Spain | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 24 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 41 | 60% |
| Practitioners (doctors, other healthcare professionals) | 17 | 25% |
| Scientists | 6 | 9% |
| Science communicators (journalists, bloggers, editors) | 4 | 6% |
Mendeley demographics
The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 189 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 24 | 13% |
| Researcher | 24 | 13% |
| Student > Master | 18 | 10% |
| Student > Doctoral Student | 11 | 6% |
| Student > Ph. D. Student | 9 | 5% |
| Other | 30 | 16% |
| Unknown | 73 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 54 | 29% |
| Nursing and Health Professions | 20 | 11% |
| Agricultural and Biological Sciences | 6 | 3% |
| Social Sciences | 5 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 2% |
| Other | 21 | 11% |
| Unknown | 79 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 56. 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 20 May 2021.
All research outputs
#960,096
of 34,399,888 outputs
Outputs from BMJ Open
#1,460
of 29,693 outputs
Outputs of similar age
#19,286
of 468,803 outputs
Outputs of similar age from BMJ Open
#35
of 903 outputs
Altmetric has tracked 34,399,888 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,693 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.0. This one has done particularly well, scoring higher than 95% 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 468,803 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 95% of its contemporaries.
We're also able to compare this research output to 903 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.