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On the convergence of the coordinate descent method for convex differentiable minimization

Overview of attention for article published in Journal of Optimization Theory and Applications, January 1992
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About this Attention Score

  • Among the highest-scoring outputs from this source (#27 of 627)
  • High Attention Score compared to outputs of the same age (84th percentile)

Mentioned by

twitter
2 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
344 Dimensions

Readers on

mendeley
143 Mendeley
citeulike
1 CiteULike
Title
On the convergence of the coordinate descent method for convex differentiable minimization
Published in
Journal of Optimization Theory and Applications, January 1992
DOI 10.1007/bf00939948
Authors

Z. Q. Luo, P. Tseng

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Italy 2 1%
Hong Kong 1 <1%
China 1 <1%
Australia 1 <1%
Japan 1 <1%
Russia 1 <1%
Unknown 131 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 39%
Researcher 19 13%
Professor 11 8%
Professor > Associate Professor 10 7%
Student > Master 9 6%
Other 23 16%
Unknown 15 10%
Readers by discipline Count As %
Computer Science 41 29%
Engineering 35 24%
Mathematics 29 20%
Business, Management and Accounting 9 6%
Physics and Astronomy 2 1%
Other 6 4%
Unknown 21 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 18 January 2024.
All research outputs
#6,965,023
of 25,187,238 outputs
Outputs from Journal of Optimization Theory and Applications
#27
of 627 outputs
Outputs of similar age
#9,850
of 63,004 outputs
Outputs of similar age from Journal of Optimization Theory and Applications
#1
of 3 outputs
Altmetric has tracked 25,187,238 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 627 research outputs from this source. They receive a mean Attention Score of 1.4. This one has done particularly well, scoring higher than 95% 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 63,004 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 3 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