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Artificial intelligence-aided CT segmentation for body composition analysis: a validation study

Overview of attention for article published in European Radiology Experimental, March 2021
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Mentioned by

twitter
4 tweeters

Citations

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11 Dimensions

Readers on

mendeley
30 Mendeley
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Title
Artificial intelligence-aided CT segmentation for body composition analysis: a validation study
Published in
European Radiology Experimental, March 2021
DOI 10.1186/s41747-021-00210-8
Pubmed ID
Authors

Pablo Borrelli, Reza Kaboteh, Olof Enqvist, Johannes Ulén, Elin Trägårdh, Henrik Kjölhede, Lars Edenbrandt

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 17%
Other 4 13%
Unspecified 2 7%
Student > Ph. D. Student 2 7%
Student > Master 2 7%
Other 5 17%
Unknown 10 33%
Readers by discipline Count As %
Medicine and Dentistry 9 30%
Sports and Recreations 3 10%
Unspecified 2 7%
Nursing and Health Professions 2 7%
Computer Science 1 3%
Other 2 7%
Unknown 11 37%

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 12 March 2021.
All research outputs
#13,637,555
of 20,471,543 outputs
Outputs from European Radiology Experimental
#99
of 164 outputs
Outputs of similar age
#229,771
of 371,476 outputs
Outputs of similar age from European Radiology Experimental
#1
of 1 outputs
Altmetric has tracked 20,471,543 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 164 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 27th percentile – i.e., 27% 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 371,476 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them