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Investigation of Underlying Association Between Whole Brain Regions and Alzheimer’s Disease: A Research Based on an Artificial Intelligence Model

Overview of attention for article published in Frontiers in Aging Neuroscience, June 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 (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
19 Mendeley
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Title
Investigation of Underlying Association Between Whole Brain Regions and Alzheimer’s Disease: A Research Based on an Artificial Intelligence Model
Published in
Frontiers in Aging Neuroscience, June 2022
DOI 10.3389/fnagi.2022.872530
Pubmed ID
Authors

Shui Liu, Chen Jie, Weimin Zheng, Jingjing Cui, Zhiqun Wang

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 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 2 11%
Researcher 2 11%
Student > Bachelor 1 5%
Unspecified 1 5%
Student > Master 1 5%
Other 1 5%
Unknown 11 58%
Readers by discipline Count As %
Psychology 2 11%
Engineering 2 11%
Computer Science 1 5%
Neuroscience 1 5%
Unspecified 1 5%
Other 0 0%
Unknown 12 63%
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 01 July 2022.
All research outputs
#3,191,465
of 22,774,233 outputs
Outputs from Frontiers in Aging Neuroscience
#1,718
of 4,759 outputs
Outputs of similar age
#70,388
of 441,762 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#120
of 368 outputs
Altmetric has tracked 22,774,233 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 4,759 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has gotten more attention than average, scoring higher than 60% 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 441,762 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 83% of its contemporaries.
We're also able to compare this research output to 368 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.