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An automatic measure for speech intelligibility in dysarthrias—validation across multiple languages and neurological disorders

Overview of attention for article published in Frontiers in Digital Health, July 2024
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Readers on

mendeley
1 Mendeley
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Title
An automatic measure for speech intelligibility in dysarthrias—validation across multiple languages and neurological disorders
Published in
Frontiers in Digital Health, July 2024
DOI 10.3389/fdgth.2024.1440986
Pubmed ID
Authors

Johannes Tröger, Felix Dörr, Louisa Schwed, Nicklas Linz, Alexandra König, Tabea Thies, Juan Rafael Orozco-Arroyave, Jan Rusz

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 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 %
Other 1 100%
Readers by discipline Count As %
Medicine and Dentistry 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 August 2024.
All research outputs
#21,539,742
of 26,441,283 outputs
Outputs from Frontiers in Digital Health
#751
of 907 outputs
Outputs of similar age
#118,910
of 185,509 outputs
Outputs of similar age from Frontiers in Digital Health
#9
of 24 outputs
Altmetric has tracked 26,441,283 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 907 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 185,509 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.