↓ Skip to main content

Bio-inspired deep learning-personalized ensemble Alzheimer's diagnosis model for mental well-being

Overview of attention for article published in SLAS TECHNOLOGY: Translating Life Sciences Innovation, June 2024
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)

Mentioned by

news
1 news outlet

Readers on

mendeley
4 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Bio-inspired deep learning-personalized ensemble Alzheimer's diagnosis model for mental well-being
Published in
SLAS TECHNOLOGY: Translating Life Sciences Innovation, June 2024
DOI 10.1016/j.slast.2024.100161
Pubmed ID
Authors

Ajmeera Kiran, Mahmood Alsaadi, Ashit Kumar Dutta, Mohan Raparthi, Mukesh Soni, Shtwai Alsubai, Haewon Byeon, Mrunalini Harish Kulkarni, Evans Asenso

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 25%
Professor > Associate Professor 1 25%
Student > Master 1 25%
Unknown 1 25%
Readers by discipline Count As %
Unspecified 1 25%
Computer Science 1 25%
Design 1 25%
Unknown 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 21 June 2024.
All research outputs
#5,098,595
of 26,429,553 outputs
Outputs from SLAS TECHNOLOGY: Translating Life Sciences Innovation
#123
of 636 outputs
Outputs of similar age
#65,711
of 319,109 outputs
Outputs of similar age from SLAS TECHNOLOGY: Translating Life Sciences Innovation
#1
of 2 outputs
Altmetric has tracked 26,429,553 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 636 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 79% 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 319,109 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 77% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them