↓ Skip to main content

Fully automated identification of brain abnormality from whole-body FDG-PET imaging using deep learning-based brain extraction and statistical parametric mapping

Overview of attention for article published in EJNMMI Physics, November 2021
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
16 Mendeley
Title
Fully automated identification of brain abnormality from whole-body FDG-PET imaging using deep learning-based brain extraction and statistical parametric mapping
Published in
EJNMMI Physics, November 2021
DOI 10.1186/s40658-021-00424-0
Pubmed ID
Authors

Wonseok Whi, Hongyoon Choi, Jin Chul Paeng, Gi Jeong Cheon, Keon Wook Kang, Dong Soo Lee

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 25%
Student > Master 3 19%
Lecturer > Senior Lecturer 1 6%
Student > Ph. D. Student 1 6%
Unknown 7 44%
Readers by discipline Count As %
Medicine and Dentistry 4 25%
Computer Science 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Psychology 1 6%
Neuroscience 1 6%
Other 0 0%
Unknown 8 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 November 2021.
All research outputs
#15,686,478
of 23,310,485 outputs
Outputs from EJNMMI Physics
#78
of 187 outputs
Outputs of similar age
#244,684
of 430,308 outputs
Outputs of similar age from EJNMMI Physics
#4
of 7 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 187 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 430,308 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.