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Automating Endoscope Motion in Robotic Surgery: A Usability Study on da Vinci-Assisted Ex Vivo Neobladder Reconstruction

Overview of attention for article published in Frontiers in Robotics and AI, November 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

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5 X users

Citations

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18 Dimensions

Readers on

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19 Mendeley
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Title
Automating Endoscope Motion in Robotic Surgery: A Usability Study on da Vinci-Assisted Ex Vivo Neobladder Reconstruction
Published in
Frontiers in Robotics and AI, November 2021
DOI 10.3389/frobt.2021.707704
Pubmed ID
Authors

Tommaso Da Col, Guido Caccianiga, Michele Catellani, Andrea Mariani, Matteo Ferro, Giovanni Cordima, Elena De Momi, Giancarlo Ferrigno, Ottavio de Cobelli

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 11%
Student > Master 2 11%
Professor 1 5%
Student > Doctoral Student 1 5%
Professor > Associate Professor 1 5%
Other 0 0%
Unknown 12 63%
Readers by discipline Count As %
Engineering 2 11%
Computer Science 2 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Medicine and Dentistry 1 5%
Decision Sciences 1 5%
Other 0 0%
Unknown 12 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 December 2021.
All research outputs
#12,682,373
of 22,707,247 outputs
Outputs from Frontiers in Robotics and AI
#543
of 1,484 outputs
Outputs of similar age
#183,661
of 498,673 outputs
Outputs of similar age from Frontiers in Robotics and AI
#32
of 88 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,484 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has gotten more attention than average, scoring higher than 62% of its peers.
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 498,673 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.