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Nonconvex Sorted $$\ell _1$$ ℓ 1 Minimization for Sparse Approximation

Overview of attention for article published in Journal of the Operations Research Society of China, February 2015
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Mentioned by

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2 tweeters

Citations

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9 Dimensions

Readers on

mendeley
13 Mendeley
Title
Nonconvex Sorted $$\ell _1$$ ℓ 1 Minimization for Sparse Approximation
Published in
Journal of the Operations Research Society of China, February 2015
DOI 10.1007/s40305-014-0069-4
Authors

Xiao-Lin Huang, Lei Shi, Ming Yan

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Taiwan 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Researcher 3 23%
Professor 2 15%
Student > Master 1 8%
Student > Doctoral Student 1 8%
Other 2 15%
Readers by discipline Count As %
Mathematics 5 38%
Unspecified 3 23%
Engineering 2 15%
Agricultural and Biological Sciences 1 8%
Economics, Econometrics and Finance 1 8%
Other 1 8%

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 30 September 2014.
All research outputs
#3,053,514
of 4,507,652 outputs
Outputs from Journal of the Operations Research Society of China
#152,924
of 282,379 outputs
Outputs of similar age
#78,756
of 120,230 outputs
Outputs of similar age from Journal of the Operations Research Society of China
#8
of 9 outputs
Altmetric has tracked 4,507,652 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 282,379 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 22nd percentile – i.e., 22% 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 120,230 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.