| Title |
Structure-Texture Image Decomposition—Modeling, Algorithms, and Parameter Selection
|
|---|---|
| Published in |
International Journal of Computer Vision, April 2006
|
| DOI | 10.1007/s11263-006-4331-z |
| Authors |
Jean-François Aujol, Guy Gilboa, Tony Chan, Stanley Osher |
Mendeley readers
The data shown below were compiled from readership statistics for 228 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 4% |
| France | 5 | 2% |
| Germany | 4 | 2% |
| Spain | 3 | 1% |
| Austria | 2 | <1% |
| Switzerland | 2 | <1% |
| Brazil | 2 | <1% |
| United Kingdom | 2 | <1% |
| China | 2 | <1% |
| Other | 6 | 3% |
| Unknown | 191 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 72 | 32% |
| Researcher | 38 | 17% |
| Student > Master | 26 | 11% |
| Professor | 15 | 7% |
| Student > Doctoral Student | 11 | 5% |
| Other | 37 | 16% |
| Unknown | 29 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 99 | 43% |
| Engineering | 44 | 19% |
| Mathematics | 27 | 12% |
| Physics and Astronomy | 6 | 3% |
| Agricultural and Biological Sciences | 4 | 2% |
| Other | 15 | 7% |
| Unknown | 33 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 26 August 2022.
All research outputs
#2,330,236
of 23,172,045 outputs
Outputs from International Journal of Computer Vision
#58
of 1,175 outputs
Outputs of similar age
#4,514
of 67,238 outputs
Outputs of similar age from International Journal of Computer Vision
#1
of 32 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,175 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 particularly well, scoring higher than 94% 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 67,238 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.