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Temporal Integration of Text Transcripts and Acoustic Features for Alzheimer's Diagnosis Based on Spontaneous Speech

Overview of attention for article published in Frontiers in Aging Neuroscience, June 2021
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
4 news outlets
twitter
3 X users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
51 Mendeley
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Title
Temporal Integration of Text Transcripts and Acoustic Features for Alzheimer's Diagnosis Based on Spontaneous Speech
Published in
Frontiers in Aging Neuroscience, June 2021
DOI 10.3389/fnagi.2021.642647
Pubmed ID
Authors

Matej Martinc, Fasih Haider, Senja Pollak, Saturnino Luz

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 14%
Researcher 5 10%
Student > Doctoral Student 4 8%
Student > Bachelor 4 8%
Student > Master 4 8%
Other 3 6%
Unknown 24 47%
Readers by discipline Count As %
Computer Science 6 12%
Engineering 5 10%
Psychology 3 6%
Medicine and Dentistry 3 6%
Neuroscience 3 6%
Other 4 8%
Unknown 27 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 03 February 2023.
All research outputs
#1,179,722
of 23,275,636 outputs
Outputs from Frontiers in Aging Neuroscience
#259
of 4,930 outputs
Outputs of similar age
#31,432
of 446,564 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#13
of 216 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,930 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done particularly well, scoring higher than 94% 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 446,564 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 92% of its contemporaries.
We're also able to compare this research output to 216 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 93% of its contemporaries.