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Mendeley readers
Attention Score in Context
Title |
An optical tracker based robot registration and servoing method for ultrasound guided percutaneous renal access
|
---|---|
Published in |
BioMedical Engineering OnLine, May 2013
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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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
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
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.