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Automated assessment of laparoscopic pattern cutting skills using computer vision and deep learning

Overview of attention for article published in Surgery, July 2025
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Readers on

mendeley
5 Mendeley
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Article details
Title
Automated assessment of laparoscopic pattern cutting skills using computer vision and deep learning
Published in
Surgery, July 2025
DOI 10.1016/j.surg.2025.109540
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Unspecified 1 20%
Lecturer 1 20%
Unknown 3 60%
Readers by discipline
Readers by discipline Count As %
Unspecified 1 20%
Computer Science 1 20%
Unknown 3 60%
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 14 July 2025.
All research outputs
#23,555,786
of 33,165,053 outputs
Outputs from Surgery
#7,639
of 9,574 outputs
Outputs of similar age
#184,713
of 347,426 outputs
Outputs of similar age from Surgery
#119
of 143 outputs
Altmetric has tracked 33,165,053 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,574 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one is in the 15th percentile – i.e., 15% 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 347,426 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 143 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.