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Diagnosis of Alzheimer Disease and Tauopathies on Whole-Slide Histopathology Images Using a Weakly Supervised Deep Learning Algorithm

Overview of attention for article published in Laboratory Investigation, June 2023
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet
twitter
9 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Diagnosis of Alzheimer Disease and Tauopathies on Whole-Slide Histopathology Images Using a Weakly Supervised Deep Learning Algorithm
Published in
Laboratory Investigation, June 2023
DOI 10.1016/j.labinv.2023.100127
Pubmed ID
Authors

Minji Kim, Hiroaki Sekiya, Gary Yao, Nicholas B. Martin, Monica Castanedes-Casey, Dennis W. Dickson, Tae Hyun Hwang, Shunsuke Koga

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 17%
Researcher 1 17%
Unknown 4 67%
Readers by discipline Count As %
Computer Science 1 17%
Neuroscience 1 17%
Unknown 4 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 10 March 2023.
All research outputs
#2,243,024
of 23,972,543 outputs
Outputs from Laboratory Investigation
#112
of 2,045 outputs
Outputs of similar age
#21,785
of 226,631 outputs
Outputs of similar age from Laboratory Investigation
#4
of 18 outputs
Altmetric has tracked 23,972,543 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,045 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 94% 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 226,631 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.