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Pre-symptomatic detection of COVID-19 from smartwatch data

Overview of attention for article published in Nature Biomedical Engineering, November 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 925)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
81 news outlets
blogs
11 blogs
twitter
1055 tweeters
facebook
2 Facebook pages
wikipedia
1 Wikipedia page
reddit
2 Redditors

Citations

dimensions_citation
204 Dimensions

Readers on

mendeley
363 Mendeley
Title
Pre-symptomatic detection of COVID-19 from smartwatch data
Published in
Nature Biomedical Engineering, November 2020
DOI 10.1038/s41551-020-00640-6
Pubmed ID
Authors

Tejaswini Mishra, Meng Wang, Ahmed A. Metwally, Gireesh K. Bogu, Andrew W. Brooks, Amir Bahmani, Arash Alavi, Alessandra Celli, Emily Higgs, Orit Dagan-Rosenfeld, Bethany Fay, Susan Kirkpatrick, Ryan Kellogg, Michelle Gibson, Tao Wang, Erika M. Hunting, Petra Mamic, Ariel B. Ganz, Benjamin Rolnik, Xiao Li, Michael P. Snyder

Twitter Demographics

The data shown below were collected from the profiles of 1,055 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 363 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 363 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 67 18%
Student > Ph. D. Student 50 14%
Student > Master 42 12%
Student > Bachelor 25 7%
Other 21 6%
Other 43 12%
Unknown 115 32%
Readers by discipline Count As %
Engineering 55 15%
Medicine and Dentistry 39 11%
Computer Science 34 9%
Biochemistry, Genetics and Molecular Biology 16 4%
Nursing and Health Professions 10 3%
Other 69 19%
Unknown 140 39%

Attention Score in Context

This research output has an Altmetric Attention Score of 1398. 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
#7,117
of 22,619,880 outputs
Outputs from Nature Biomedical Engineering
#4
of 925 outputs
Outputs of similar age
#448
of 506,264 outputs
Outputs of similar age from Nature Biomedical Engineering
#1
of 43 outputs
Altmetric has tracked 22,619,880 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 925 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 90.5. 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 506,264 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 43 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 99% of its contemporaries.