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Predicting Alzheimer’s disease progression using multi-modal deep learning approach

Overview of attention for article published in Scientific Reports, February 2019
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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 (87th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
10 X users
patent
10 patents

Readers on

mendeley
608 Mendeley
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Article details
Title
Predicting Alzheimer’s disease progression using multi-modal deep learning approach
Published in
Scientific Reports, February 2019
DOI 10.1038/s41598-018-37769-z
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 608 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 608 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 81 13%
Researcher 61 10%
Student > Master 60 10%
Student > Bachelor 37 6%
Other 31 5%
Other 72 12%
Unknown 266 44%
Readers by discipline
Readers by discipline Count As %
Computer Science 94 15%
Engineering 53 9%
Neuroscience 53 9%
Medicine and Dentistry 29 5%
Biochemistry, Genetics and Molecular Biology 17 3%
Other 64 11%
Unknown 298 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 07 July 2026.
All research outputs
#1,770,908
of 31,439,095 outputs
Outputs from Scientific Reports
#16,930
of 171,238 outputs
Outputs of similar age
#35,175
of 478,332 outputs
Outputs of similar age from Scientific Reports
#507
of 4,095 outputs
Altmetric has tracked 31,439,095 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 171,238 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.4. This one has done particularly well, scoring higher than 90% 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 478,332 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 4,095 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.