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AI-based detection of lung lesions in [18F]FDG PET-CT from lung cancer patients

Overview of attention for article published in EJNMMI Physics, March 2021
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Mentioned by

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1 X user

Citations

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Readers on

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72 Mendeley
Title
AI-based detection of lung lesions in [18F]FDG PET-CT from lung cancer patients
Published in
EJNMMI Physics, March 2021
DOI 10.1186/s40658-021-00376-5
Pubmed ID
Authors

Pablo Borrelli, John Ly, Reza Kaboteh, Johannes Ulén, Olof Enqvist, Elin Trägårdh, Lars Edenbrandt

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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 15 21%
Student > Ph. D. Student 8 11%
Researcher 6 8%
Student > Bachelor 4 6%
Lecturer > Senior Lecturer 3 4%
Other 11 15%
Unknown 25 35%
Readers by discipline Count As %
Unspecified 15 21%
Medicine and Dentistry 8 11%
Computer Science 7 10%
Engineering 4 6%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 7 10%
Unknown 29 40%
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 26 March 2021.
All research outputs
#20,701,376
of 23,301,510 outputs
Outputs from EJNMMI Physics
#138
of 187 outputs
Outputs of similar age
#365,722
of 429,435 outputs
Outputs of similar age from EJNMMI Physics
#8
of 11 outputs
Altmetric has tracked 23,301,510 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 187 research outputs from this source. They receive a mean Attention Score of 2.5. 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 429,435 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 11 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.