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Establishment and Analysis of a Combined Diagnostic Model of Alzheimer's Disease With Random Forest and Artificial Neural Network

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
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
25 Mendeley
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Title
Establishment and Analysis of a Combined Diagnostic Model of Alzheimer's Disease With Random Forest and Artificial Neural Network
Published in
Frontiers in Aging Neuroscience, June 2022
DOI 10.3389/fnagi.2022.921906
Pubmed ID
Authors

Dazhong Sun, Haojun Peng, Zhibing Wu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 7 28%
Researcher 3 12%
Student > Postgraduate 2 8%
Student > Bachelor 2 8%
Lecturer 1 4%
Other 2 8%
Unknown 8 32%
Readers by discipline Count As %
Unspecified 7 28%
Medicine and Dentistry 2 8%
Biochemistry, Genetics and Molecular Biology 1 4%
Agricultural and Biological Sciences 1 4%
Chemical Engineering 1 4%
Other 4 16%
Unknown 9 36%
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 22 July 2022.
All research outputs
#4,196,781
of 22,908,162 outputs
Outputs from Frontiers in Aging Neuroscience
#2,176
of 4,824 outputs
Outputs of similar age
#89,450
of 437,593 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#147
of 380 outputs
Altmetric has tracked 22,908,162 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,824 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has gotten more attention than average, scoring higher than 54% 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 437,593 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 78% of its contemporaries.
We're also able to compare this research output to 380 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 55% of its contemporaries.