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Mendeley readers
Attention Score in Context
| Title |
Sparse CT reconstruction based on multi-direction anisotropic total variation (MDATV)
|
|---|---|
| Published in |
BioMedical Engineering OnLine, July 2014
|
| DOI | 10.1186/1475-925x-13-92 |
| Pubmed ID | |
| Authors |
Hongxiao Li, Xiaodong Chen, Yi Wang, Zhongxing Zhou, Qingzhen Zhu, Daoyin Yu |
| Abstract |
The sparse CT (Computed Tomography), inspired by compressed sensing, means to introduce a prior information of image sparsity into CT reconstruction to reduce the input projections so as to reduce the potential threat of incremental X-ray dose to patients' health. Recently, many remarkable works were concentrated on the sparse CT reconstruction from sparse (limited-angle or few-view style) projections. In this paper we would like to incorporate more prior information into the sparse CT reconstruction for improvement of performance. It is known decades ago that the given projection directions can provide information about the directions of edges in the restored CT image. ATV (Anisotropic Total Variation), a TV (Total Variation) norm based regularization, could use the prior information of image sparsity and edge direction simultaneously. But ATV can only represent the edge information in few directions and lose much prior information of image edges in other directions. |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 24% |
| Student > Master | 7 | 24% |
| Researcher | 4 | 14% |
| Student > Doctoral Student | 3 | 10% |
| Student > Postgraduate | 2 | 7% |
| Other | 1 | 3% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 12 | 41% |
| Physics and Astronomy | 4 | 14% |
| Computer Science | 3 | 10% |
| Medicine and Dentistry | 3 | 10% |
| Agricultural and Biological Sciences | 2 | 7% |
| Other | 0 | 0% |
| Unknown | 5 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 01 September 2014.
All research outputs
#3,268,111
of 22,761,738 outputs
Outputs from BioMedical Engineering OnLine
#77
of 824 outputs
Outputs of similar age
#33,731
of 227,395 outputs
Outputs of similar age from BioMedical Engineering OnLine
#3
of 19 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 824 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 90% 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 227,395 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 84% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.