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Surgical instrument detection and tracking technologies: Automating dataset labeling for surgical skill assessment

Overview of attention for article published in Frontiers in Robotics and AI, November 2022
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Surgical instrument detection and tracking technologies: Automating dataset labeling for surgical skill assessment
Published in
Frontiers in Robotics and AI, November 2022
DOI 10.3389/frobt.2022.1030846
Pubmed ID
Authors

Shubhangi Nema, Leena Vachhani

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 8%
Researcher 2 8%
Unspecified 1 4%
Lecturer 1 4%
Student > Doctoral Student 1 4%
Other 6 23%
Unknown 13 50%
Readers by discipline Count As %
Engineering 5 19%
Computer Science 3 12%
Medicine and Dentistry 3 12%
Unspecified 1 4%
Social Sciences 1 4%
Other 0 0%
Unknown 13 50%
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 05 November 2022.
All research outputs
#17,950,284
of 23,049,027 outputs
Outputs from Frontiers in Robotics and AI
#1,149
of 1,513 outputs
Outputs of similar age
#286,663
of 440,426 outputs
Outputs of similar age from Frontiers in Robotics and AI
#46
of 109 outputs
Altmetric has tracked 23,049,027 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one is in the 13th percentile – i.e., 13% 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 440,426 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.