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Multimodal Prediction of Alzheimer's Disease Severity Level Based on Resting-State EEG and Structural MRI

Overview of attention for article published in Frontiers in Human Neuroscience, September 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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
twitter
15 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
29 Mendeley
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Title
Multimodal Prediction of Alzheimer's Disease Severity Level Based on Resting-State EEG and Structural MRI
Published in
Frontiers in Human Neuroscience, September 2021
DOI 10.3389/fnhum.2021.700627
Pubmed ID
Authors

Belmir Jesus, Raymundo Cassani, William J. McGeown, Marco Cecchi, K. C. Fadem, Tiago H. Falk

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 14%
Researcher 4 14%
Student > Ph. D. Student 4 14%
Lecturer > Senior Lecturer 2 7%
Other 1 3%
Other 3 10%
Unknown 11 38%
Readers by discipline Count As %
Computer Science 4 14%
Psychology 4 14%
Agricultural and Biological Sciences 2 7%
Engineering 2 7%
Neuroscience 2 7%
Other 1 3%
Unknown 14 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 01 October 2021.
All research outputs
#1,678,649
of 23,965,413 outputs
Outputs from Frontiers in Human Neuroscience
#802
of 7,375 outputs
Outputs of similar age
#39,606
of 432,648 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#5
of 179 outputs
Altmetric has tracked 23,965,413 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,375 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has done well, scoring higher than 89% 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 432,648 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 90% of its contemporaries.
We're also able to compare this research output to 179 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 97% of its contemporaries.