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Would a thermal sensor improve arm motion classification accuracy of a single wrist-mounted inertial device?

Overview of attention for article published in BioMedical Engineering OnLine, May 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
103 Mendeley
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Title
Would a thermal sensor improve arm motion classification accuracy of a single wrist-mounted inertial device?
Published in
BioMedical Engineering OnLine, May 2019
DOI 10.1186/s12938-019-0677-7
Pubmed ID
Authors

Jordan Lui, Carlo Menon

Twitter Demographics

The data shown below were collected from the profiles of 2 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 17%
Student > Bachelor 15 15%
Student > Master 13 13%
Researcher 11 11%
Student > Doctoral Student 4 4%
Other 11 11%
Unknown 32 31%
Readers by discipline Count As %
Engineering 11 11%
Medicine and Dentistry 11 11%
Computer Science 10 10%
Nursing and Health Professions 9 9%
Sports and Recreations 5 5%
Other 18 17%
Unknown 39 38%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 November 2019.
All research outputs
#9,879,019
of 16,241,843 outputs
Outputs from BioMedical Engineering OnLine
#298
of 667 outputs
Outputs of similar age
#183,992
of 330,826 outputs
Outputs of similar age from BioMedical Engineering OnLine
#16
of 33 outputs
Altmetric has tracked 16,241,843 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 667 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 54% 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 330,826 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.