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Mendeley readers
Attention Score in Context
| Title |
Video-tactile pneumatic sensor for soft tissue elastic modulus estimation
|
|---|---|
| Published in |
BioMedical Engineering OnLine, August 2017
|
| DOI | 10.1186/s12938-017-0390-3 |
| Pubmed ID | |
| Authors |
M. M. Gubenko, A. V. Morozov, A. N. Lyubicheva, I. G. Goryacheva, M. Z. Dosaev, M.-Sh. Ju, Ch.‐H. Yeh, F.-Ch. Su |
| Abstract |
A new sensor for estimating elasticity of soft tissues such as a liver was developed for minimally invasive surgery application. By measuring deformation and adjusting internal pressure of the pneumatic sensor head, the sensor can be used to do palpation (indentation) of tissues with wide range of stiffness. A video camera installed within the sensor shell is used to register the radius of the contact area. Based on finite element model simulations and the measured data, elastic modulus of the indented soft tissue can be calculated. Three phantom materials, namely plastic, silicone and gelatin, with varied stiffness were tested. The experimental results demonstrated that the new sensor can obtain highly reliable data with error less than 5%. The new sensor might be served as an instrument in laparoscopic surgery for diagnosis of pathological tissues or internal organs. |
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 % |
|---|---|---|
| Unknown | 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 29% |
| Student > Ph. D. Student | 2 | 14% |
| Student > Bachelor | 2 | 14% |
| Student > Master | 2 | 14% |
| Unknown | 4 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 36% |
| Psychology | 1 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Materials Science | 1 | 7% |
| Physics and Astronomy | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 5 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 03 August 2017.
All research outputs
#20,441,465
of 22,996,001 outputs
Outputs from BioMedical Engineering OnLine
#692
of 824 outputs
Outputs of similar age
#276,934
of 317,441 outputs
Outputs of similar age from BioMedical Engineering OnLine
#19
of 20 outputs
Altmetric has tracked 22,996,001 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 824 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 317,441 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.