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Objective estimation of m-CTSIB balance test scores using wearable sensors and machine learning

Overview of attention for article published in Frontiers in Digital Health, April 2024
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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 (#24 of 903)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
8 news outlets
blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
4 Mendeley
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Title
Objective estimation of m-CTSIB balance test scores using wearable sensors and machine learning
Published in
Frontiers in Digital Health, April 2024
DOI 10.3389/fdgth.2024.1366176
Pubmed ID
Authors

Marjan Nassajpour, Mustafa Shuqair, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin, Behnaz Ghoraani

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 25%
Student > Ph. D. Student 1 25%
Lecturer > Senior Lecturer 1 25%
Unknown 1 25%
Readers by discipline Count As %
Engineering 2 50%
Medicine and Dentistry 1 25%
Unknown 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 62. 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 June 2024.
All research outputs
#724,632
of 26,377,159 outputs
Outputs from Frontiers in Digital Health
#24
of 903 outputs
Outputs of similar age
#11,528
of 342,290 outputs
Outputs of similar age from Frontiers in Digital Health
#1
of 52 outputs
Altmetric has tracked 26,377,159 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 903 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done particularly well, scoring higher than 97% 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 342,290 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 96% of its contemporaries.
We're also able to compare this research output to 52 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 98% of its contemporaries.