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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Real-Time Wearable System for Monitoring Vital Signs of COVID-19 Patients in a Hospital Setting
|
|---|---|
| Published in |
Frontiers in Digital Health, September 2021
|
| DOI | 10.3389/fdgth.2021.630273 |
| Pubmed ID | |
| Authors |
Mauro D. Santos, Cristian Roman, Marco A. F. Pimentel, Sarah Vollam, Carlos Areia, Louise Young, Peter Watkinson, Lionel Tarassenko |
X Demographics
The data shown below were collected from the profiles of 15 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 | 8 | 53% |
| Switzerland | 1 | 7% |
| Unknown | 6 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 47% |
| Scientists | 4 | 27% |
| Practitioners (doctors, other healthcare professionals) | 3 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 73 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 11% |
| Student > Ph. D. Student | 6 | 8% |
| Student > Master | 5 | 7% |
| Student > Bachelor | 4 | 5% |
| Lecturer | 4 | 5% |
| Other | 15 | 21% |
| Unknown | 31 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 15% |
| Engineering | 9 | 12% |
| Nursing and Health Professions | 6 | 8% |
| Unspecified | 3 | 4% |
| Computer Science | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 34 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 30 October 2021.
All research outputs
#3,149,350
of 23,322,258 outputs
Outputs from Frontiers in Digital Health
#99
of 579 outputs
Outputs of similar age
#72,253
of 429,628 outputs
Outputs of similar age from Frontiers in Digital Health
#19
of 65 outputs
Altmetric has tracked 23,322,258 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 579 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done well, scoring higher than 83% 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 429,628 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 65 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 72% of its contemporaries.