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Block Iterative Reweighted Algorithms for Super-Resolution of Spectrally Sparse Signals

Overview of attention for article published in IEEE Signal Processing Letters, September 2015
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Article details
Title
Block Iterative Reweighted Algorithms for Super-Resolution of Spectrally Sparse Signals
Published in
IEEE Signal Processing Letters, September 2015
DOI 10.1109/lsp.2015.2478854
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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 7 28%
Researcher 5 20%
Student > Doctoral Student 4 16%
Student > Master 2 8%
Other 1 4%
Other 1 4%
Unknown 5 20%
Readers by discipline
Readers by discipline Count As %
Computer Science 12 48%
Engineering 6 24%
Biochemistry, Genetics and Molecular Biology 1 4%
Unknown 6 24%
Attention Score in Context

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 03 August 2015.
All research outputs
#20,657,128
of 25,377,790 outputs
Outputs from IEEE Signal Processing Letters
#1,439
of 1,874 outputs
Outputs of similar age
#206,028
of 281,201 outputs
Outputs of similar age from IEEE Signal Processing Letters
#15
of 21 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,874 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 16th percentile – i.e., 16% 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 281,201 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.