| Title |
The Pascal Visual Object Classes (VOC) Challenge
|
|---|---|
| Published in |
International Journal of Computer Vision, September 2009
|
| DOI | 10.1007/s11263-009-0275-4 |
| Authors |
Mark Everingham, Luc Van Gool, Christopher K. I. Williams, John Winn, Andrew Zisserman |
Mendeley readers
The data shown below were compiled from readership statistics for 4,011 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 20 | <1% |
| United Kingdom | 19 | <1% |
| Germany | 12 | <1% |
| China | 9 | <1% |
| Spain | 7 | <1% |
| France | 6 | <1% |
| Japan | 5 | <1% |
| Italy | 5 | <1% |
| India | 4 | <1% |
| Other | 44 | 1% |
| Unknown | 3880 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 841 | 21% |
| Student > Ph. D. Student | 797 | 20% |
| Student > Bachelor | 403 | 10% |
| Researcher | 325 | 8% |
| Student > Doctoral Student | 142 | 4% |
| Other | 405 | 10% |
| Unknown | 1098 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1647 | 41% |
| Engineering | 810 | 20% |
| Agricultural and Biological Sciences | 54 | 1% |
| Physics and Astronomy | 35 | <1% |
| Mathematics | 28 | <1% |
| Other | 223 | 6% |
| Unknown | 1214 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 02 April 2024.
All research outputs
#1,703,988
of 25,837,817 outputs
Outputs from International Journal of Computer Vision
#26
of 1,452 outputs
Outputs of similar age
#4,965
of 108,138 outputs
Outputs of similar age from International Journal of Computer Vision
#1
of 11 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,452 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 98% 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 108,138 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.