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A Geodesic Interior-Point Method for Linear Optimization over Symmetric Cones

Overview of attention for article published in SIAM Journal on Optimization, June 2023
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Mentioned by

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1 X user

Citations

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3 Dimensions

Readers on

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4 Mendeley
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Title
A Geodesic Interior-Point Method for Linear Optimization over Symmetric Cones
Published in
SIAM Journal on Optimization, June 2023
DOI 10.1137/20m1385019
Authors

Frank Permenter

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

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Student > Master 1 25%
Unknown 2 50%
Readers by discipline Count As %
Mathematics 1 25%
Physics and Astronomy 1 25%
Unknown 2 50%
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 22 June 2023.
All research outputs
#21,439,340
of 23,932,490 outputs
Outputs from SIAM Journal on Optimization
#298
of 461 outputs
Outputs of similar age
#146,209
of 177,380 outputs
Outputs of similar age from SIAM Journal on Optimization
#1
of 9 outputs
Altmetric has tracked 23,932,490 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 461 research outputs from this source. They receive a mean Attention Score of 2.4. 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 177,380 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 9 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