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Adhesion-related small bowel obstruction: deep learning for automatic transition-zone detection by CT

Overview of attention for article published in Insights into Imaging, January 2022
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1 X user

Citations

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Readers on

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15 Mendeley
Title
Adhesion-related small bowel obstruction: deep learning for automatic transition-zone detection by CT
Published in
Insights into Imaging, January 2022
DOI 10.1186/s13244-021-01150-y
Pubmed ID
Authors

Quentin Vanderbecq, Roberto Ardon, Antoine De Reviers, Camille Ruppli, Axel Dallongeville, Isabelle Boulay-Coletta, Gaspard D’Assignies, Marc Zins

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

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 20%
Student > Doctoral Student 1 7%
Student > Bachelor 1 7%
Student > Master 1 7%
Researcher 1 7%
Other 0 0%
Unknown 8 53%
Readers by discipline Count As %
Physics and Astronomy 2 13%
Environmental Science 1 7%
Computer Science 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Neuroscience 1 7%
Other 1 7%
Unknown 8 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 30 June 2023.
All research outputs
#21,699,788
of 24,217,893 outputs
Outputs from Insights into Imaging
#946
of 1,072 outputs
Outputs of similar age
#429,414
of 506,958 outputs
Outputs of similar age from Insights into Imaging
#38
of 45 outputs
Altmetric has tracked 24,217,893 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 1,072 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. 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 506,958 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 45 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.