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Use of non-Gaussian time-of-flight kernels for image reconstruction of Monte Carlo simulated data of ultra-fast PET scanners

Overview of attention for article published in EJNMMI Physics, June 2020
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1 X user

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mendeley
11 Mendeley
Title
Use of non-Gaussian time-of-flight kernels for image reconstruction of Monte Carlo simulated data of ultra-fast PET scanners
Published in
EJNMMI Physics, June 2020
DOI 10.1186/s40658-020-00309-8
Pubmed ID
Authors

Nikos Efthimiou, Kris Thielemans, Elise Emond, Chris Cawthorne, Stephen J. Archibald, Charalampos Tsoumpas

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 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 > Ph. D. Student 2 18%
Student > Doctoral Student 2 18%
Professor > Associate Professor 1 9%
Unknown 3 27%
Readers by discipline Count As %
Physics and Astronomy 2 18%
Biochemistry, Genetics and Molecular Biology 1 9%
Computer Science 1 9%
Medicine and Dentistry 1 9%
Materials Science 1 9%
Other 1 9%
Unknown 4 36%
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 20 June 2020.
All research outputs
#18,323,929
of 23,577,654 outputs
Outputs from EJNMMI Physics
#112
of 190 outputs
Outputs of similar age
#286,409
of 400,716 outputs
Outputs of similar age from EJNMMI Physics
#5
of 10 outputs
Altmetric has tracked 23,577,654 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 190 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 41st percentile – i.e., 41% 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 400,716 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.