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Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy

Overview of attention for article published in European Journal of Hybrid Imaging, September 2020
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Mentioned by

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3 X users

Citations

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120 Dimensions

Readers on

mendeley
88 Mendeley
Title
Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy
Published in
European Journal of Hybrid Imaging, September 2020
DOI 10.1186/s41824-020-00086-8
Pubmed ID
Authors

Hossein Arabi, Habib Zaidi

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 15%
Student > Master 8 9%
Researcher 8 9%
Lecturer 4 5%
Unspecified 4 5%
Other 9 10%
Unknown 42 48%
Readers by discipline Count As %
Computer Science 8 9%
Engineering 5 6%
Physics and Astronomy 5 6%
Medicine and Dentistry 4 5%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Other 15 17%
Unknown 47 53%
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 02 July 2021.
All research outputs
#16,201,611
of 23,885,338 outputs
Outputs from European Journal of Hybrid Imaging
#37
of 73 outputs
Outputs of similar age
#257,281
of 411,660 outputs
Outputs of similar age from European Journal of Hybrid Imaging
#2
of 3 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 73 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 31st percentile – i.e., 31% 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 411,660 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 3 others from the same source and published within six weeks on either side of this one.