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Evaluation of Neuro Images for the Diagnosis of Alzheimer's Disease Using Deep Learning Neural Network

Overview of attention for article published in Frontiers in Public Health, February 2022
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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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
71 Mendeley
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Title
Evaluation of Neuro Images for the Diagnosis of Alzheimer's Disease Using Deep Learning Neural Network
Published in
Frontiers in Public Health, February 2022
DOI 10.3389/fpubh.2022.834032
Pubmed ID
Authors

Ahila A, Poongodi M, Mounir Hamdi, Sami Bourouis, Kulhanek Rastislav, Faizaan Mohmed

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 8%
Unspecified 5 7%
Student > Ph. D. Student 4 6%
Professor 3 4%
Lecturer 3 4%
Other 11 15%
Unknown 39 55%
Readers by discipline Count As %
Computer Science 10 14%
Unspecified 5 7%
Agricultural and Biological Sciences 2 3%
Social Sciences 2 3%
Engineering 2 3%
Other 8 11%
Unknown 42 59%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 04 March 2022.
All research outputs
#3,791,887
of 26,473,472 outputs
Outputs from Frontiers in Public Health
#1,863
of 14,996 outputs
Outputs of similar age
#90,694
of 536,423 outputs
Outputs of similar age from Frontiers in Public Health
#108
of 841 outputs
Altmetric has tracked 26,473,472 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,996 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 87% 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 536,423 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 82% of its contemporaries.
We're also able to compare this research output to 841 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.