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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bone-induced streak artifact suppression in sparse-view CT image reconstruction
|
|---|---|
| Published in |
BioMedical Engineering OnLine, August 2012
|
| DOI | 10.1186/1475-925x-11-44 |
| Pubmed ID | |
| Authors |
Seung Oh Jin, Jae Gon Kim, Soo Yeol Lee, Oh-Kyong Kwon |
| Abstract |
In sparse-view CT imaging, strong streak artifacts may appear around bony structures and they often compromise the image readability. Compressed sensing (CS) or total variation (TV) minimization-based image reconstruction method has reduced the streak artifacts to a great extent, but, sparse-view CT imaging still suffers from residual streak artifacts. We introduce a new bone-induced streak artifact reduction method in the CS-based image reconstruction. |
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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 24% |
| Student > Master | 3 | 18% |
| Student > Doctoral Student | 1 | 6% |
| Professor | 1 | 6% |
| Lecturer | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 4 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 4 | 24% |
| Medicine and Dentistry | 4 | 24% |
| Engineering | 3 | 18% |
| Linguistics | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 4 | 24% |
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 02 August 2012.
All research outputs
#18,312,024
of 22,673,450 outputs
Outputs from BioMedical Engineering OnLine
#564
of 821 outputs
Outputs of similar age
#126,231
of 164,813 outputs
Outputs of similar age from BioMedical Engineering OnLine
#9
of 22 outputs
Altmetric has tracked 22,673,450 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 821 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 15th percentile – i.e., 15% 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 164,813 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.