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Deep learning-based amyloid PET positivity classification model in the Alzheimer’s disease continuum by using 2-[18F]FDG PET

Overview of attention for article published in EJNMMI Research, June 2021
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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 (76th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
31 Mendeley
Title
Deep learning-based amyloid PET positivity classification model in the Alzheimer’s disease continuum by using 2-[18F]FDG PET
Published in
EJNMMI Research, June 2021
DOI 10.1186/s13550-021-00798-3
Pubmed ID
Authors

Suhong Kim, Peter Lee, Kyeong Taek Oh, Min Soo Byun, Dahyun Yi, Jun Ho Lee, Yu Kyeong Kim, Byoung Seok Ye, Mi Jin Yun, Dong Young Lee, Yong Jeong

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Student > Ph. D. Student 3 10%
Student > Bachelor 2 6%
Other 1 3%
Lecturer > Senior Lecturer 1 3%
Other 2 6%
Unknown 16 52%
Readers by discipline Count As %
Neuroscience 5 16%
Medicine and Dentistry 5 16%
Computer Science 1 3%
Earth and Planetary Sciences 1 3%
Engineering 1 3%
Other 1 3%
Unknown 17 55%
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 18 June 2021.
All research outputs
#4,291,488
of 23,308,124 outputs
Outputs from EJNMMI Research
#58
of 571 outputs
Outputs of similar age
#102,918
of 447,214 outputs
Outputs of similar age from EJNMMI Research
#2
of 15 outputs
Altmetric has tracked 23,308,124 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 571 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done well, scoring higher than 85% 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 447,214 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 76% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.