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Towards immersive virtual reality (iVR): a route to surgical expertise

Overview of attention for article published in Journal of Computational Surgery, May 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)

Mentioned by

2 blogs
1 tweeter


10 Dimensions

Readers on

67 Mendeley
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Towards immersive virtual reality (iVR): a route to surgical expertise
Published in
Journal of Computational Surgery, May 2015
DOI 10.1186/s40244-015-0015-8
Pubmed ID

Saurabh Dargar, Rebecca Kennedy, WeiXuan Lai, Venkata Arikatla, Suvranu De


Surgery is characterized by complex tasks performed in stressful environments. To enhance patient safety and reduce errors, surgeons must be trained in environments that mimic the actual clinical setting. Rasmussen's model of human behavior indicates that errors in surgical procedures may be skill-, rule-, or knowledge-based. While skill-based behavior and some rule-based behavior may be taught using box trainers and ex vivo or in vivo animal models, we posit that multimodal immersive virtual reality (iVR) that includes high-fidelity visual as well as other sensory feedback in a seamless fashion provides the only means of achieving true surgical expertise by addressing all three levels of human behavior. While the field of virtual reality is not new, realization of the goals of complete immersion is challenging and has been recognized as a Grand Challenge by the National Academy of Engineering. Recent technological advances in both interface and computational hardware have generated significant enthusiasm in this field. In this paper, we discuss convergence of some of these technologies and possible evolution of the field in the near term.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 1%
Colombia 1 1%
Unknown 65 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 16%
Student > Ph. D. Student 11 16%
Student > Bachelor 11 16%
Researcher 8 12%
Student > Doctoral Student 6 9%
Other 15 22%
Unknown 5 7%
Readers by discipline Count As %
Medicine and Dentistry 16 24%
Computer Science 15 22%
Engineering 12 18%
Psychology 7 10%
Social Sciences 3 4%
Other 9 13%
Unknown 5 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 27 October 2017.
All research outputs
of 12,059,719 outputs
Outputs from Journal of Computational Surgery
of 4 outputs
Outputs of similar age
of 222,316 outputs
Outputs of similar age from Journal of Computational Surgery
of 1 outputs
Altmetric has tracked 12,059,719 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4 research outputs from this source. They receive a mean Attention Score of 2.2. This one scored the same or higher as 3 of them.
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 222,316 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
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