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An optical tracker based robot registration and servoing method for ultrasound guided percutaneous renal access

Overview of attention for article published in BioMedical Engineering OnLine, May 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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1 X user
patent
1 patent
facebook
1 Facebook page

Citations

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18 Dimensions

Readers on

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56 Mendeley
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Title
An optical tracker based robot registration and servoing method for ultrasound guided percutaneous renal access
Published in
BioMedical Engineering OnLine, May 2013
DOI 10.1186/1475-925x-12-47
Pubmed ID
Authors

Dongwen Zhang, Zhicheng Li, Ken Chen, Jing Xiong, Xuping Zhang, Lei Wang

Abstract

Robot-assisted needle steering facilitates the percutaneous renal access (PRA) for their accuracy and consistency over manual operation. However, inaccurate image-robot correspondence and uncertainties in robot parameters make the needle track deviate from the intrarenal target. This paper aims to simplify the image-tracker-robot registration procedure and improves the accuracy of needle alignment for robot assisted ultrasound-guided PRA.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Germany 1 2%
Canada 1 2%
Unknown 53 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 21%
Student > Ph. D. Student 10 18%
Researcher 5 9%
Student > Doctoral Student 5 9%
Student > Bachelor 4 7%
Other 10 18%
Unknown 10 18%
Readers by discipline Count As %
Engineering 18 32%
Computer Science 10 18%
Medicine and Dentistry 6 11%
Agricultural and Biological Sciences 2 4%
Business, Management and Accounting 1 2%
Other 4 7%
Unknown 15 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 September 2023.
All research outputs
#7,779,140
of 25,374,917 outputs
Outputs from BioMedical Engineering OnLine
#195
of 867 outputs
Outputs of similar age
#63,123
of 207,927 outputs
Outputs of similar age from BioMedical Engineering OnLine
#5
of 21 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 76% 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 207,927 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 69% of its contemporaries.
We're also able to compare this research output to 21 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 71% of its contemporaries.