| Title |
A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape
|
|---|---|
| Published in |
International Journal of Computer Vision, August 2006
|
| DOI | 10.1007/s11263-006-8711-1 |
| Authors |
Daniel Cremers, Mikael Rousson, Rachid Deriche |
Mendeley readers
The data shown below were compiled from readership statistics for 678 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 2% |
| United Kingdom | 11 | 2% |
| Germany | 10 | 1% |
| Switzerland | 6 | <1% |
| France | 6 | <1% |
| China | 6 | <1% |
| Canada | 5 | <1% |
| Turkey | 3 | <1% |
| Brazil | 3 | <1% |
| Other | 21 | 3% |
| Unknown | 592 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 248 | 37% |
| Researcher | 113 | 17% |
| Student > Master | 104 | 15% |
| Professor > Associate Professor | 36 | 5% |
| Student > Doctoral Student | 32 | 5% |
| Other | 88 | 13% |
| Unknown | 57 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 308 | 45% |
| Engineering | 188 | 28% |
| Mathematics | 29 | 4% |
| Agricultural and Biological Sciences | 25 | 4% |
| Physics and Astronomy | 12 | 2% |
| Other | 39 | 6% |
| Unknown | 77 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 22 August 2023.
All research outputs
#2,293,030
of 23,172,045 outputs
Outputs from International Journal of Computer Vision
#55
of 1,175 outputs
Outputs of similar age
#4,411
of 66,149 outputs
Outputs of similar age from International Journal of Computer Vision
#1
of 11 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% 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 95% 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 66,149 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 93% of its contemporaries.
We're also able to compare this research output to 11 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 90% of its contemporaries.