| Title |
Estimation of Vector Fields in Unconstrained and Inequality Constrained Variational Problems for Segmentation and Registration
|
|---|---|
| Published in |
Journal of Mathematical Imaging and Vision, January 2008
|
| DOI | 10.1007/s10851-008-0064-7 |
| Authors |
Gozde Unal, Greg Slabaugh |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 31% |
| Researcher | 4 | 25% |
| Lecturer | 2 | 13% |
| Student > Postgraduate | 2 | 13% |
| Student > Master | 2 | 13% |
| Other | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 63% |
| Engineering | 4 | 25% |
| Medicine and Dentistry | 1 | 6% |
| Unknown | 1 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 23 January 2015.
All research outputs
#15,373,286
of 22,870,727 outputs
Outputs from Journal of Mathematical Imaging and Vision
#152
of 296 outputs
Outputs of similar age
#131,592
of 156,751 outputs
Outputs of similar age from Journal of Mathematical Imaging and Vision
#4
of 4 outputs
Altmetric has tracked 22,870,727 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 296 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.