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Application of Deep Learning to Predict Standardized Uptake Value Ratio and Amyloid Status on 18F-Florbetapir PET Using ADNI Data

Overview of attention for article published in American Journal of Neuroradiology, June 2020
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
2 news outlets
twitter
10 X users

Readers on

mendeley
41 Mendeley
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Title
Application of Deep Learning to Predict Standardized Uptake Value Ratio and Amyloid Status on 18F-Florbetapir PET Using ADNI Data
Published in
American Journal of Neuroradiology, June 2020
DOI 10.3174/ajnr.a6573
Pubmed ID
Authors

F. Reith, M.E. Koran, G. Davidzon, G. Zaharchuk, for the Alzheimer′s Disease Neuroimaging Initiative

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 17%
Student > Master 6 15%
Student > Bachelor 3 7%
Professor > Associate Professor 3 7%
Lecturer 2 5%
Other 5 12%
Unknown 15 37%
Readers by discipline Count As %
Computer Science 6 15%
Medicine and Dentistry 5 12%
Arts and Humanities 2 5%
Psychology 2 5%
Engineering 2 5%
Other 5 12%
Unknown 19 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 03 March 2024.
All research outputs
#1,778,182
of 25,628,260 outputs
Outputs from American Journal of Neuroradiology
#246
of 5,295 outputs
Outputs of similar age
#50,349
of 434,185 outputs
Outputs of similar age from American Journal of Neuroradiology
#13
of 126 outputs
Altmetric has tracked 25,628,260 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,295 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 95% 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 434,185 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 88% of its contemporaries.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.