| Title |
The Pascal Visual Object Classes Challenge: A Retrospective
|
|---|---|
| Published in |
International Journal of Computer Vision, June 2014
|
| DOI | 10.1007/s11263-014-0733-5 |
| Authors |
Mark Everingham, S. M. Ali Eslami, Luc Van Gool, Christopher K. I. Williams, John Winn, Andrew Zisserman |
Mendeley readers
The data shown below were compiled from readership statistics for 1,498 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | <1% |
| France | 3 | <1% |
| Germany | 3 | <1% |
| United Kingdom | 3 | <1% |
| Turkey | 2 | <1% |
| Italy | 2 | <1% |
| Indonesia | 1 | <1% |
| Portugal | 1 | <1% |
| India | 1 | <1% |
| Other | 12 | <1% |
| Unknown | 1466 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 319 | 21% |
| Student > Master | 281 | 19% |
| Student > Bachelor | 143 | 10% |
| Researcher | 130 | 9% |
| Student > Doctoral Student | 54 | 4% |
| Other | 153 | 10% |
| Unknown | 418 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 569 | 38% |
| Engineering | 325 | 22% |
| Agricultural and Biological Sciences | 25 | 2% |
| Physics and Astronomy | 16 | 1% |
| Earth and Planetary Sciences | 15 | 1% |
| Other | 95 | 6% |
| Unknown | 453 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 February 2024.
All research outputs
#1,737,777
of 24,717,692 outputs
Outputs from International Journal of Computer Vision
#28
of 1,314 outputs
Outputs of similar age
#17,193
of 233,184 outputs
Outputs of similar age from International Journal of Computer Vision
#1
of 10 outputs
Altmetric has tracked 24,717,692 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,314 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 97% 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 233,184 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 92% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them