| Title |
Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study
|
|---|---|
| Published in |
International Journal of Computer Vision, September 2006
|
| DOI | 10.1007/s11263-006-9794-4 |
| Authors |
J. Zhang, M. Marszałek, S. Lazebnik, C. Schmid |
Mendeley readers
The data shown below were compiled from readership statistics for 821 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 22 | 3% |
| Germany | 12 | 1% |
| China | 12 | 1% |
| France | 12 | 1% |
| United Kingdom | 9 | 1% |
| Japan | 7 | <1% |
| Colombia | 6 | <1% |
| Spain | 6 | <1% |
| Italy | 4 | <1% |
| Other | 35 | 4% |
| Unknown | 696 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 286 | 35% |
| Student > Master | 160 | 19% |
| Researcher | 123 | 15% |
| Student > Bachelor | 45 | 5% |
| Professor > Associate Professor | 41 | 5% |
| Other | 113 | 14% |
| Unknown | 53 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 502 | 61% |
| Engineering | 156 | 19% |
| Agricultural and Biological Sciences | 13 | 2% |
| Mathematics | 10 | 1% |
| Medicine and Dentistry | 6 | <1% |
| Other | 50 | 6% |
| Unknown | 84 | 10% |
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 01 December 2023.
All research outputs
#3,272,274
of 22,788,370 outputs
Outputs from International Journal of Computer Vision
#109
of 1,139 outputs
Outputs of similar age
#7,335
of 67,421 outputs
Outputs of similar age from International Journal of Computer Vision
#3
of 9 outputs
Altmetric has tracked 22,788,370 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 1,139 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 67,421 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 85% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.