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Universal gradient methods for convex optimization problems

Overview of attention for article published in Mathematical Programming, May 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
174 Dimensions

Readers on

mendeley
88 Mendeley
Title
Universal gradient methods for convex optimization problems
Published in
Mathematical Programming, May 2014
DOI 10.1007/s10107-014-0790-0
Authors

Yu Nesterov

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

Geographical breakdown

Country Count As %
United States 3 3%
Germany 1 1%
Iran, Islamic Republic of 1 1%
New Zealand 1 1%
Russia 1 1%
Denmark 1 1%
Unknown 80 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 38%
Researcher 11 13%
Student > Doctoral Student 10 11%
Student > Master 8 9%
Professor 6 7%
Other 13 15%
Unknown 7 8%
Readers by discipline Count As %
Mathematics 28 32%
Computer Science 28 32%
Engineering 11 13%
Business, Management and Accounting 4 5%
Decision Sciences 3 3%
Other 4 5%
Unknown 10 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 10 May 2023.
All research outputs
#7,596,171
of 23,806,312 outputs
Outputs from Mathematical Programming
#139
of 697 outputs
Outputs of similar age
#71,579
of 228,199 outputs
Outputs of similar age from Mathematical Programming
#6
of 21 outputs
Altmetric has tracked 23,806,312 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 697 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 79% 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 228,199 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 67% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.