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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 & Applications, January 1992
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
219 Dimensions

Readers on

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

Z. Q. Luo, P. Tseng

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

Geographical breakdown

Country Count As %
United States 5 5%
Italy 2 2%
China 1 <1%
Australia 1 <1%
Japan 1 <1%
Russia 1 <1%
Hong Kong 1 <1%
Unknown 94 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 46%
Researcher 14 13%
Professor > Associate Professor 9 8%
Professor 8 8%
Student > Master 8 8%
Other 18 17%
Readers by discipline Count As %
Computer Science 37 35%
Engineering 29 27%
Mathematics 20 19%
Business, Management and Accounting 8 8%
Unspecified 5 5%
Other 7 7%

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 04 October 2013.
All research outputs
#7,716,450
of 12,342,011 outputs
Outputs from Journal of Optimization Theory & Applications
#87
of 124 outputs
Outputs of similar age
#83,992
of 162,431 outputs
Outputs of similar age from Journal of Optimization Theory & Applications
#1
of 1 outputs
Altmetric has tracked 12,342,011 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 124 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 20th percentile – i.e., 20% 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 162,431 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% 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