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Unified Models for Second-Order TV-Type Regularisation in Imaging: A New Perspective Based on Vector Operators

Overview of attention for article published in Journal of Mathematical Imaging and Vision, November 2018
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Readers on

mendeley
2 Mendeley
Title
Unified Models for Second-Order TV-Type Regularisation in Imaging: A New Perspective Based on Vector Operators
Published in
Journal of Mathematical Imaging and Vision, November 2018
DOI 10.1007/s10851-018-0861-6
Authors

Eva-Maria Brinkmann, Martin Burger, Joana Sarah Grah

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Researcher 1 50%
Readers by discipline Count As %
Mathematics 1 50%
Engineering 1 50%

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 06 June 2019.
All research outputs
#8,444,838
of 13,465,676 outputs
Outputs from Journal of Mathematical Imaging and Vision
#101
of 152 outputs
Outputs of similar age
#206,143
of 342,658 outputs
Outputs of similar age from Journal of Mathematical Imaging and Vision
#3
of 4 outputs
Altmetric has tracked 13,465,676 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 152 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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 342,658 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
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.