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FROST—Fast row-stochastic optimization with uncoordinated step-sizes

Overview of attention for article published in EURASIP Journal on Advances in Signal Processing, January 2019
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Mentioned by

twitter
1 tweeter

Citations

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34 Dimensions

Readers on

mendeley
28 Mendeley
Title
FROST—Fast row-stochastic optimization with uncoordinated step-sizes
Published in
EURASIP Journal on Advances in Signal Processing, January 2019
DOI 10.1186/s13634-018-0596-y
Authors

Ran Xin, Chenguang Xi, Usman A. Khan

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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 36%
Student > Master 6 21%
Student > Bachelor 1 4%
Student > Doctoral Student 1 4%
Other 1 4%
Other 1 4%
Unknown 8 29%
Readers by discipline Count As %
Engineering 11 39%
Computer Science 4 14%
Mathematics 4 14%
Unknown 9 32%

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 28 March 2018.
All research outputs
#12,248,742
of 13,844,681 outputs
Outputs from EURASIP Journal on Advances in Signal Processing
#224
of 314 outputs
Outputs of similar age
#239,006
of 275,544 outputs
Outputs of similar age from EURASIP Journal on Advances in Signal Processing
#1
of 1 outputs
Altmetric has tracked 13,844,681 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 314 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% 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 275,544 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them