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Distributed Proximal Splitting Algorithms with Rates and Acceleration

Overview of attention for article published in arXiv, January 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Distributed Proximal Splitting Algorithms with Rates and Acceleration
Published in
arXiv, January 2022
DOI 10.3389/frsip.2021.776825
Authors

Laurent Condat, Grigory Malinovsky, Peter Richtárik

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 14%
Researcher 1 14%
Student > Postgraduate 1 14%
Unknown 4 57%
Readers by discipline Count As %
Engineering 2 29%
Computer Science 1 14%
Unknown 4 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 January 2022.
All research outputs
#8,541,797
of 25,387,668 outputs
Outputs from arXiv
#155,361
of 915,148 outputs
Outputs of similar age
#185,095
of 517,199 outputs
Outputs of similar age from arXiv
#4,107
of 25,879 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 915,148 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 81% of its peers.
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 517,199 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
We're also able to compare this research output to 25,879 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.