| Title |
Efficient Graph-Based Image Segmentation
|
|---|---|
| Published in |
International Journal of Computer Vision, September 2004
|
| DOI | 10.1023/b:visi.0000022288.19776.77 |
| Authors |
Pedro F. Felzenszwalb, Daniel P. Huttenlocher |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,944 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 57 | 2% |
| Germany | 20 | <1% |
| China | 20 | <1% |
| United Kingdom | 18 | <1% |
| France | 13 | <1% |
| Spain | 13 | <1% |
| Austria | 9 | <1% |
| Japan | 9 | <1% |
| Switzerland | 7 | <1% |
| Other | 82 | 3% |
| Unknown | 2696 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 865 | 29% |
| Student > Master | 595 | 20% |
| Researcher | 384 | 13% |
| Student > Bachelor | 247 | 8% |
| Student > Doctoral Student | 107 | 4% |
| Other | 343 | 12% |
| Unknown | 403 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1507 | 51% |
| Engineering | 619 | 21% |
| Earth and Planetary Sciences | 57 | 2% |
| Agricultural and Biological Sciences | 56 | 2% |
| Mathematics | 53 | 2% |
| Other | 160 | 5% |
| Unknown | 492 | 17% |
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 05 March 2024.
All research outputs
#1,668,920
of 25,371,288 outputs
Outputs from International Journal of Computer Vision
#25
of 1,420 outputs
Outputs of similar age
#2,034
of 69,940 outputs
Outputs of similar age from International Journal of Computer Vision
#1
of 8 outputs
Altmetric has tracked 25,371,288 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 1,420 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 69,940 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 97% of its contemporaries.
We're also able to compare this research output to 8 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