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Unveiling the sound of the cognitive status: Machine Learning-based speech analysis in the Alzheimer’s disease spectrum

Overview of attention for article published in Alzheimer's Research & Therapy, February 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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

news
1 news outlet
twitter
3 X users
reddit
1 Redditor

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
19 Mendeley
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Title
Unveiling the sound of the cognitive status: Machine Learning-based speech analysis in the Alzheimer’s disease spectrum
Published in
Alzheimer's Research & Therapy, February 2024
DOI 10.1186/s13195-024-01394-y
Pubmed ID
Authors

Fernando García-Gutiérrez, Montserrat Alegret, Marta Marquié, Nathalia Muñoz, Gemma Ortega, Amanda Cano, Itziar De Rojas, Pablo García-González, Clàudia Olivé, Raquel Puerta, Ainhoa García-Sanchez, María Capdevila-Bayo, Laura Montrreal, Vanesa Pytel, Maitee Rosende-Roca, Carla Zaldua, Peru Gabirondo, Lluís Tárraga, Agustín Ruiz, Mercè Boada, Sergi Valero

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 16%
Student > Doctoral Student 2 11%
Student > Bachelor 2 11%
Unspecified 1 5%
Librarian 1 5%
Other 1 5%
Unknown 9 47%
Readers by discipline Count As %
Computer Science 4 21%
Medicine and Dentistry 2 11%
Unspecified 1 5%
Neuroscience 1 5%
Psychology 1 5%
Other 0 0%
Unknown 10 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 31 March 2024.
All research outputs
#3,016,274
of 25,760,414 outputs
Outputs from Alzheimer's Research & Therapy
#706
of 1,504 outputs
Outputs of similar age
#42,096
of 347,496 outputs
Outputs of similar age from Alzheimer's Research & Therapy
#12
of 54 outputs
Altmetric has tracked 25,760,414 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,504 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.4. This one has gotten more attention than average, scoring higher than 52% 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 347,496 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 87% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.