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Uncovering the Achilles heel of genetic heterogeneity: machine learning-based classification and immunological properties of necroptosis clusters in Alzheimer’s disease

Overview of attention for article published in Frontiers in Aging Neuroscience, September 2023
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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)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Uncovering the Achilles heel of genetic heterogeneity: machine learning-based classification and immunological properties of necroptosis clusters in Alzheimer’s disease
Published in
Frontiers in Aging Neuroscience, September 2023
DOI 10.3389/fnagi.2023.1249682
Pubmed ID
Authors

Huangwei Wei, Chunle Wu, Yulin Yuan, Lichuan Lai

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 22%
Researcher 2 22%
Librarian 1 11%
Student > Master 1 11%
Unknown 3 33%
Readers by discipline Count As %
Unspecified 2 22%
Biochemistry, Genetics and Molecular Biology 1 11%
Computer Science 1 11%
Neuroscience 1 11%
Unknown 4 44%
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 13 October 2023.
All research outputs
#4,638,618
of 24,612,602 outputs
Outputs from Frontiers in Aging Neuroscience
#2,258
of 5,285 outputs
Outputs of similar age
#51,398
of 237,103 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#40
of 90 outputs
Altmetric has tracked 24,612,602 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 5,285 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has gotten more attention than average, scoring higher than 52% 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 237,103 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 90 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.