Scale Space and Variational Methods in Computer Vision
Springer International Publishing
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X Demographics
Attention Score in Context
| Chapter title |
Towards Efficient Time Stepping for Numerical Shape Correspondence
|
|---|---|
| Chapter number | 14 |
| Book title |
Scale Space and Variational Methods in Computer Vision
|
| Published in |
arXiv, April 2021
|
| DOI | 10.1007/978-3-030-75549-2_14 |
| Book ISBNs |
978-3-03-075548-5, 978-3-03-075549-2
|
| Authors |
Alexander Köhler, Michael Breuß, Köhler, Alexander, Breuß, Michael |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
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 22 December 2023.
All research outputs
#22,442,987
of 25,038,941 outputs
Outputs from arXiv
#742,286
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Outputs of similar age
#373,007
of 433,163 outputs
Outputs of similar age from arXiv
#22,590
of 33,229 outputs
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So far Altmetric has tracked 1,022,563 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 33,229 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.