| Title |
Robust Object Detection with Interleaved Categorization and Segmentation
|
|---|---|
| Published in |
International Journal of Computer Vision, November 2007
|
| DOI | 10.1007/s11263-007-0095-3 |
| Authors |
Bastian Leibe, Aleš Leonardis, Bernt Schiele |
Mendeley readers
The data shown below were compiled from readership statistics for 540 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 15 | 3% |
| United States | 14 | 3% |
| United Kingdom | 10 | 2% |
| Switzerland | 5 | <1% |
| France | 5 | <1% |
| Spain | 4 | <1% |
| Austria | 2 | <1% |
| Italy | 2 | <1% |
| Russia | 2 | <1% |
| Other | 16 | 3% |
| Unknown | 465 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 193 | 36% |
| Student > Master | 89 | 16% |
| Researcher | 84 | 16% |
| Student > Bachelor | 32 | 6% |
| Student > Doctoral Student | 26 | 5% |
| Other | 69 | 13% |
| Unknown | 47 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 344 | 64% |
| Engineering | 101 | 19% |
| Agricultural and Biological Sciences | 9 | 2% |
| Physics and Astronomy | 4 | <1% |
| Earth and Planetary Sciences | 4 | <1% |
| Other | 20 | 4% |
| Unknown | 58 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 16 June 2022.
All research outputs
#2,445,420
of 22,675,759 outputs
Outputs from International Journal of Computer Vision
#65
of 1,126 outputs
Outputs of similar age
#9,473
of 155,397 outputs
Outputs of similar age from International Journal of Computer Vision
#2
of 13 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,126 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 particularly well, scoring higher than 92% 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 155,397 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 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.