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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Performance of national COVID-19 ‘symptom checkers’: a comparative case simulation study
|
|---|---|
| Published in |
BMJ Health & Care Informatics, March 2021
|
| DOI | 10.1136/bmjhci-2020-100187 |
| Pubmed ID | |
| Authors |
Fatma Mansab, Sohail Bhatti, Daniel Goyal |
Twitter Demographics
The data shown below were collected from the profiles of 250 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 | 89 | 36% |
| United States | 5 | 2% |
| Ireland | 3 | 1% |
| France | 2 | <1% |
| Mexico | 1 | <1% |
| Comoros | 1 | <1% |
| Curaçao | 1 | <1% |
| Guinea | 1 | <1% |
| Spain | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 142 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 212 | 85% |
| Practitioners (doctors, other healthcare professionals) | 24 | 10% |
| Science communicators (journalists, bloggers, editors) | 8 | 3% |
| Scientists | 5 | 2% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 20% |
| Student > Ph. D. Student | 5 | 10% |
| Lecturer | 3 | 6% |
| Student > Doctoral Student | 3 | 6% |
| Professor | 2 | 4% |
| Other | 9 | 18% |
| Unknown | 17 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 20% |
| Nursing and Health Professions | 7 | 14% |
| Environmental Science | 3 | 6% |
| Computer Science | 2 | 4% |
| Social Sciences | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 20 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 554. 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 01 July 2023.
All research outputs
#40,867
of 24,520,935 outputs
Outputs from BMJ Health & Care Informatics
#2
of 305 outputs
Outputs of similar age
#1,445
of 426,347 outputs
Outputs of similar age from BMJ Health & Care Informatics
#2
of 15 outputs
Altmetric has tracked 24,520,935 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 305 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. 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 426,347 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 15 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 93% of its contemporaries.