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Self-supervised learning for human activity recognition using 700,000 person-days of wearable data

Overview of attention for article published in npj Digital Medicine, April 2024
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
twitter
90 X users

Readers on

mendeley
49 Mendeley
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Title
Self-supervised learning for human activity recognition using 700,000 person-days of wearable data
Published in
npj Digital Medicine, April 2024
DOI 10.1038/s41746-024-01062-3
Pubmed ID
Authors

Hang Yuan, Shing Chan, Andrew P. Creagh, Catherine Tong, Aidan Acquah, David A. Clifton, Aiden Doherty

X Demographics

X Demographics

The data shown below were collected from the profiles of 90 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

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 > Ph. D. Student 10 20%
Researcher 8 16%
Student > Master 3 6%
Other 2 4%
Student > Bachelor 2 4%
Other 5 10%
Unknown 19 39%
Readers by discipline Count As %
Computer Science 16 33%
Engineering 4 8%
Medicine and Dentistry 3 6%
Biochemistry, Genetics and Molecular Biology 2 4%
Agricultural and Biological Sciences 1 2%
Other 5 10%
Unknown 18 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 83. 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 08 May 2024.
All research outputs
#529,320
of 25,877,363 outputs
Outputs from npj Digital Medicine
#171
of 1,050 outputs
Outputs of similar age
#5,815
of 254,306 outputs
Outputs of similar age from npj Digital Medicine
#6
of 70 outputs
Altmetric has tracked 25,877,363 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,050 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.4. 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 254,306 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 98% of its contemporaries.
We're also able to compare this research output to 70 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 91% of its contemporaries.