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Mendeley readers
Attention Score in Context
| Title |
Volumetric three-dimensional intravascular ultrasound visualization using shape-based nonlinear interpolation
|
|---|---|
| Published in |
BioMedical Engineering OnLine, May 2013
|
| DOI | 10.1186/1475-925x-12-39 |
| Pubmed ID | |
| Authors |
Yonghoon Rim, David D McPherson, Hyunggun Kim |
| Abstract |
Intravascular ultrasound (IVUS) is a standard imaging modality for identification of plaque formation in the coronary and peripheral arteries. Volumetric three-dimensional (3D) IVUS visualization provides a powerful tool to overcome the limited comprehensive information of 2D IVUS in terms of complex spatial distribution of arterial morphology and acoustic backscatter information. Conventional 3D IVUS techniques provide sub-optimal visualization of arterial morphology or lack acoustic information concerning arterial structure due in part to low quality of image data and the use of pixel-based IVUS image reconstruction algorithms. In the present study, we describe a novel volumetric 3D IVUS reconstruction algorithm to utilize IVUS signal data and a shape-based nonlinear interpolation. |
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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Austria | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 36 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 23% |
| Student > Ph. D. Student | 5 | 13% |
| Other | 2 | 5% |
| Student > Bachelor | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Other | 9 | 23% |
| Unknown | 10 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 10 | 26% |
| Medicine and Dentistry | 8 | 21% |
| Computer Science | 1 | 3% |
| Unspecified | 1 | 3% |
| Neuroscience | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 17 | 44% |
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 18 August 2013.
All research outputs
#15,276,424
of 22,716,996 outputs
Outputs from BioMedical Engineering OnLine
#423
of 822 outputs
Outputs of similar age
#119,712
of 193,548 outputs
Outputs of similar age from BioMedical Engineering OnLine
#7
of 13 outputs
Altmetric has tracked 22,716,996 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 822 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 36th percentile – i.e., 36% 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 193,548 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.