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Mendeley readers
Attention Score in Context
| Title |
A compressed sensing-based iterative algorithm for CT reconstruction and its possible application to phase contrast imaging
|
|---|---|
| Published in |
BioMedical Engineering OnLine, August 2011
|
| DOI | 10.1186/1475-925x-10-73 |
| Pubmed ID | |
| Authors |
Xueli Li, Shuqian Luo |
| Abstract |
Computed Tomography (CT) is a technology that obtains the tomogram of the observed objects. In real-world applications, especially the biomedical applications, lower radiation dose have been constantly pursued. To shorten scanning time and reduce radiation dose, one can decrease X-ray exposure time at each projection view or decrease the number of projections. Until quite recently, the traditional filtered back projection (FBP) method has been commonly exploited in CT image reconstruction. Applying the FBP method requires using a large amount of projection data. Especially when the exposure speed is limited by the mechanical characteristic of the imaging facilities, using FBP method may prolong scanning time and cumulate with a high dose of radiation consequently damaging the biological specimens. |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| Italy | 1 | 2% |
| Germany | 1 | 2% |
| France | 1 | 2% |
| Unknown | 60 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 21% |
| Student > Master | 13 | 20% |
| Researcher | 12 | 18% |
| Other | 7 | 11% |
| Student > Doctoral Student | 5 | 8% |
| Other | 9 | 14% |
| Unknown | 6 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 25 | 38% |
| Physics and Astronomy | 11 | 17% |
| Medicine and Dentistry | 9 | 14% |
| Computer Science | 8 | 12% |
| Earth and Planetary Sciences | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 10 | 15% |
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 23 August 2011.
All research outputs
#3,798,611
of 25,374,647 outputs
Outputs from BioMedical Engineering OnLine
#83
of 867 outputs
Outputs of similar age
#18,991
of 133,396 outputs
Outputs of similar age from BioMedical Engineering OnLine
#2
of 6 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 89% 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 133,396 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 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.