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Using principal component analysis to determine which vestibular stimuli provide best biomarkers for separating Alzheimer’s from mixed Alzheimer’s disease

Overview of attention for article published in Medical & Biological Engineering & Computing, May 2024
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Readers on

mendeley
1 Mendeley
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Title
Using principal component analysis to determine which vestibular stimuli provide best biomarkers for separating Alzheimer’s from mixed Alzheimer’s disease
Published in
Medical & Biological Engineering & Computing, May 2024
DOI 10.1007/s11517-024-03110-2
Pubmed ID
Authors

S. Marzban, Z. Dastgheib, B. Lithgow, Z. Moussavi

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 100%
Readers by discipline Count As %
Engineering 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 27 May 2024.
All research outputs
#3,739,628
of 25,988,468 outputs
Outputs from Medical & Biological Engineering & Computing
#57
of 2,074 outputs
Outputs of similar age
#27,121
of 193,345 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#2
of 5 outputs
Altmetric has tracked 25,988,468 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,074 research outputs from this source. They receive a mean Attention Score of 3.8. 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 193,345 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.