| Title |
3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints
|
|---|---|
| Published in |
International Journal of Computer Vision, March 2006
|
| DOI | 10.1007/s11263-005-3674-1 |
| Authors |
Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce |
Mendeley readers
The data shown below were compiled from readership statistics for 264 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 5% |
| Germany | 5 | 2% |
| Switzerland | 3 | 1% |
| Japan | 3 | 1% |
| France | 2 | <1% |
| Spain | 2 | <1% |
| Italy | 2 | <1% |
| Chile | 1 | <1% |
| Australia | 1 | <1% |
| Other | 12 | 5% |
| Unknown | 221 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 86 | 33% |
| Student > Master | 52 | 20% |
| Researcher | 39 | 15% |
| Student > Bachelor | 18 | 7% |
| Other | 12 | 5% |
| Other | 39 | 15% |
| Unknown | 18 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 178 | 67% |
| Engineering | 50 | 19% |
| Physics and Astronomy | 3 | 1% |
| Agricultural and Biological Sciences | 2 | <1% |
| Earth and Planetary Sciences | 1 | <1% |
| Other | 8 | 3% |
| Unknown | 22 | 8% |
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 27 June 2023.
All research outputs
#3,360,651
of 23,269,984 outputs
Outputs from International Journal of Computer Vision
#113
of 1,185 outputs
Outputs of similar age
#7,575
of 72,548 outputs
Outputs of similar age from International Journal of Computer Vision
#2
of 29 outputs
Altmetric has tracked 23,269,984 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 1,185 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 85% 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 72,548 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 86% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.