The data shown below were collected from the profiles of 88 X users who shared this research output. Click here to find out more about how the information was compiled.
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| Title |
Wearable Sensors for COVID-19: A Call to Action to Harness Our Digital Infrastructure for Remote Patient Monitoring and Virtual Assessments
|
|---|---|
| Published in |
Frontiers in Digital Health, June 2020
|
| DOI | 10.3389/fdgth.2020.00008 |
| Pubmed ID | |
| Authors |
Dhruv R. Seshadri, Evan V. Davies, Ethan R. Harlow, Jeffrey J. Hsu, Shanina C. Knighton, Timothy A. Walker, James E. Voos, Colin K. Drummond |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 14 | 16% |
| Switzerland | 3 | 3% |
| Brazil | 3 | 3% |
| India | 2 | 2% |
| Denmark | 1 | 1% |
| Turkey | 1 | 1% |
| Romania | 1 | 1% |
| Ecuador | 1 | 1% |
| Canada | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 59 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 68 | 77% |
| Scientists | 11 | 13% |
| Science communicators (journalists, bloggers, editors) | 5 | 6% |
| Practitioners (doctors, other healthcare professionals) | 4 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 377 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 377 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 54 | 14% |
| Student > Master | 42 | 11% |
| Student > Ph. D. Student | 40 | 11% |
| Student > Bachelor | 33 | 9% |
| Student > Doctoral Student | 18 | 5% |
| Other | 61 | 16% |
| Unknown | 129 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 66 | 18% |
| Computer Science | 37 | 10% |
| Medicine and Dentistry | 19 | 5% |
| Business, Management and Accounting | 12 | 3% |
| Biochemistry, Genetics and Molecular Biology | 11 | 3% |
| Other | 80 | 21% |
| Unknown | 152 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 70. 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 23 November 2022.
All research outputs
#653,453
of 26,613,602 outputs
Outputs from Frontiers in Digital Health
#22
of 925 outputs
Outputs of similar age
#19,364
of 438,762 outputs
Outputs of similar age from Frontiers in Digital Health
#1
of 10 outputs
Altmetric has tracked 26,613,602 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 925 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one has done particularly well, scoring higher than 97% 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 438,762 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them