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Head motion classification using thread-based sensor and machine learning algorithm

Overview of attention for article published in Scientific Reports, January 2021
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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 (99th percentile)

Mentioned by

news
21 news outlets
blogs
1 blog
twitter
8 tweeters
facebook
2 Facebook pages

Readers on

mendeley
10 Mendeley
Title
Head motion classification using thread-based sensor and machine learning algorithm
Published in
Scientific Reports, January 2021
DOI 10.1038/s41598-021-81284-7
Pubmed ID
Authors

Yiwen Jiang, Aydin Sadeqi, Eric L. Miller, Sameer Sonkusale

Twitter Demographics

The data shown below were collected from the profiles of 8 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Professor 4 40%
Researcher 2 20%
Professor > Associate Professor 1 10%
Other 1 10%
Unknown 2 20%
Readers by discipline Count As %
Engineering 4 40%
Computer Science 2 20%
Medicine and Dentistry 1 10%
Biochemistry, Genetics and Molecular Biology 1 10%
Unknown 2 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 169. 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 26 February 2021.
All research outputs
#127,211
of 17,117,795 outputs
Outputs from Scientific Reports
#1,559
of 91,504 outputs
Outputs of similar age
#3,489
of 257,333 outputs
Outputs of similar age from Scientific Reports
#1
of 88 outputs
Altmetric has tracked 17,117,795 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 91,504 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.5. This one has done particularly well, scoring higher than 98% 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 257,333 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 88 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.