| Title |
Multi-view Occlusion Reasoning for Probabilistic Silhouette-Based Dynamic Scene Reconstruction
|
|---|---|
| Published in |
International Journal of Computer Vision, April 2010
|
| DOI | 10.1007/s11263-010-0341-y |
| Authors |
Li Guan, Jean-Sébastien Franco, Marc Pollefeys |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 2% |
| Finland | 1 | 2% |
| China | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| Spain | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 41 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 40% |
| Student > Master | 7 | 15% |
| Professor | 5 | 11% |
| Researcher | 5 | 11% |
| Lecturer | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 33 | 70% |
| Engineering | 7 | 15% |
| Psychology | 2 | 4% |
| Neuroscience | 1 | 2% |
| Unknown | 4 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 28 November 2023.
All research outputs
#7,730,464
of 23,510,717 outputs
Outputs from International Journal of Computer Vision
#410
of 1,204 outputs
Outputs of similar age
#35,231
of 97,128 outputs
Outputs of similar age from International Journal of Computer Vision
#5
of 11 outputs
Altmetric has tracked 23,510,717 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 32nd percentile – i.e., 32% 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 97,128 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
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 is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.