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Investigation of the use of a sensor bracelet for the presymptomatic detection of changes in physiological parameters related to COVID-19: an interim analysis of a prospective cohort study (COVI-GAPP)

Overview of attention for article published in BMJ Open, June 2022
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#35 of 21,157)
  • 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
103 news outlets
blogs
6 blogs
twitter
115 tweeters

Readers on

mendeley
35 Mendeley
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Title
Investigation of the use of a sensor bracelet for the presymptomatic detection of changes in physiological parameters related to COVID-19: an interim analysis of a prospective cohort study (COVI-GAPP)
Published in
BMJ Open, June 2022
DOI 10.1136/bmjopen-2021-058274
Pubmed ID
Authors

Martin Risch, Kirsten Grossmann, Stefanie Aeschbacher, Ornella C Weideli, Marc Kovac, Fiona Pereira, Nadia Wohlwend, Corina Risch, Dorothea Hillmann, Thomas Lung, Harald Renz, Raphael Twerenbold, Martina Rothenbühler, Daniel Leibovitz, Vladimir Kovacevic, Andjela Markovic, Paul Klaver, Timo B Brakenhoff, Billy Franks, Marianna Mitratza, George S Downward, Ariel Dowling, Santiago Montes, Diederick E Grobbee, Maureen Cronin, David Conen, Brianna M Goodale, Lorenz Risch

Twitter Demographics

The data shown below were collected from the profiles of 115 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 17 49%
Researcher 4 11%
Student > Ph. D. Student 3 9%
Professor 2 6%
Other 2 6%
Other 3 9%
Unknown 4 11%
Readers by discipline Count As %
Unspecified 18 51%
Nursing and Health Professions 3 9%
Medicine and Dentistry 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Computer Science 1 3%
Other 6 17%
Unknown 4 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 873. 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 02 August 2022.
All research outputs
#15,044
of 21,770,930 outputs
Outputs from BMJ Open
#35
of 21,157 outputs
Outputs of similar age
#481
of 319,750 outputs
Outputs of similar age from BMJ Open
#2
of 623 outputs
Altmetric has tracked 21,770,930 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 21,157 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.4. 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 319,750 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 623 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.