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X Demographics
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
|
| 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Germany | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 71 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 17 | 23% |
| Student > Master | 12 | 16% |
| Student > Ph. D. Student | 10 | 14% |
| Researcher | 5 | 7% |
| Student > Doctoral Student | 5 | 7% |
| Other | 15 | 20% |
| Unknown | 10 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 19 | 26% |
| Unspecified | 17 | 23% |
| Computer Science | 10 | 14% |
| Medicine and Dentistry | 6 | 8% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 15 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 10 April 2024.
All research outputs
#5,277,716
of 25,784,004 outputs
Outputs from BioMedical Engineering OnLine
#126
of 875 outputs
Outputs of similar age
#42,337
of 208,909 outputs
Outputs of similar age from BioMedical Engineering OnLine
#3
of 21 outputs
Altmetric has tracked 25,784,004 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 875 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 85% 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 208,909 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 79% 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 done well, scoring higher than 85% of its contemporaries.