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

Overview of attention for article published in arXiv, January 2019
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Mentioned by

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1 X user

Citations

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65 Dimensions

Readers on

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33 Mendeley
Title
FROST—Fast row-stochastic optimization with uncoordinated step-sizes
Published in
arXiv, January 2019
DOI 10.1186/s13634-018-0596-y
Authors

Ran Xin, Chenguang Xi, Usman A. Khan

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 30%
Student > Master 6 18%
Student > Bachelor 1 3%
Other 1 3%
Student > Doctoral Student 1 3%
Other 1 3%
Unknown 13 39%
Readers by discipline Count As %
Engineering 11 33%
Mathematics 4 12%
Computer Science 4 12%
Economics, Econometrics and Finance 1 3%
Unknown 13 39%
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 28 March 2018.
All research outputs
#22,767,715
of 25,385,509 outputs
Outputs from arXiv
#673,414
of 915,125 outputs
Outputs of similar age
#386,181
of 446,379 outputs
Outputs of similar age from arXiv
#15,569
of 18,985 outputs
Altmetric has tracked 25,385,509 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 915,125 research outputs from this source. They receive a mean Attention Score of 4.3. 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 446,379 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 18,985 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.