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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
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Mentioned by

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1 tweeter

Citations

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1 Dimensions

Readers on

mendeley
11 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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 27%
Student > Master 2 18%
Lecturer > Senior Lecturer 1 9%
Unspecified 1 9%
Unknown 4 36%
Readers by discipline Count As %
Medicine and Dentistry 3 27%
Computer Science 1 9%
Unspecified 1 9%
Neuroscience 1 9%
Psychology 1 9%
Other 0 0%
Unknown 4 36%

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
#18,821,293
of 21,173,213 outputs
Outputs from EJNMMI Physics
#114
of 154 outputs
Outputs of similar age
#342,977
of 416,400 outputs
Outputs of similar age from EJNMMI Physics
#17
of 26 outputs
Altmetric has tracked 21,173,213 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 154 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 1st percentile – i.e., 1% 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 416,400 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.