| Title |
“Plug and Play”: a novel technique utilising existing technology to get the most out of the robot
|
|---|---|
| Published in |
Journal of Robotic Surgery, January 2017
|
| DOI | 10.1007/s11701-016-0670-0 |
| Pubmed ID | |
| Authors |
Todd G. Manning, Daniel Christidis, Jasamine Coles-Black, Shannon McGrath, Jonathan O’Brien, Jason Chuen, Damien Bolton, Nathan Lawrentschuk |
| Abstract |
We describe a simple technique in which current and freely available technology can be utilised by surgeons while operating the Da Vinci Si/Xi Surgical Robotic systems. This technique allows for a parallel intraoperative display within the surgical console of any desired subject material from a standard computer, utilising commercially available cabling. The ability to view 3D reconstructed images, patient radiology and patient results within the console whilst operating, has the potential to increase operative efficiency, reduce error and aid in adequate resection of tissues. The ease with which our technique is achieved, the benefits of its use and the low cost associated with its implementation support our suggestion that all robotic surgeons incorporate this into their regular operative setup. |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 7 | 41% |
| United Kingdom | 5 | 29% |
| United States | 2 | 12% |
| Unknown | 3 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 6 | 35% |
| Members of the public | 5 | 29% |
| Scientists | 4 | 24% |
| Science communicators (journalists, bloggers, editors) | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer > Senior Lecturer | 1 | 10% |
| Student > Bachelor | 1 | 10% |
| Student > Ph. D. Student | 1 | 10% |
| Student > Master | 1 | 10% |
| Researcher | 1 | 10% |
| Other | 2 | 20% |
| Unknown | 3 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 60% |
| Unknown | 4 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 08 March 2023.
All research outputs
#2,852,075
of 23,956,119 outputs
Outputs from Journal of Robotic Surgery
#35
of 716 outputs
Outputs of similar age
#57,626
of 426,027 outputs
Outputs of similar age from Journal of Robotic Surgery
#5
of 17 outputs
Altmetric has tracked 23,956,119 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 716 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 95% 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 426,027 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.