| Title |
Highly Accurate Optic Flow Computation with Theoretically Justified Warping
|
|---|---|
| Published in |
International Journal of Computer Vision, January 2006
|
| DOI | 10.1007/s11263-005-3960-y |
| Authors |
Nils Papenberg, Andrés Bruhn, Thomas Brox, Stephan Didas, Joachim Weickert |
Mendeley readers
The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 5 | 3% |
| Spain | 3 | 2% |
| France | 3 | 2% |
| United States | 3 | 2% |
| United Kingdom | 3 | 2% |
| Portugal | 2 | 1% |
| Japan | 2 | 1% |
| Australia | 2 | 1% |
| Hong Kong | 1 | <1% |
| Other | 7 | 4% |
| Unknown | 139 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 59 | 35% |
| Researcher | 43 | 25% |
| Student > Master | 18 | 11% |
| Student > Doctoral Student | 9 | 5% |
| Other | 6 | 4% |
| Other | 18 | 11% |
| Unknown | 17 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 87 | 51% |
| Engineering | 35 | 21% |
| Mathematics | 11 | 6% |
| Agricultural and Biological Sciences | 5 | 3% |
| Physics and Astronomy | 4 | 2% |
| Other | 12 | 7% |
| Unknown | 16 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 28 February 2017.
All research outputs
#4,763,732
of 23,049,027 outputs
Outputs from International Journal of Computer Vision
#202
of 1,164 outputs
Outputs of similar age
#19,997
of 155,496 outputs
Outputs of similar age from International Journal of Computer Vision
#4
of 20 outputs
Altmetric has tracked 23,049,027 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,164 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 70% 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 155,496 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 80% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.