↓ Skip to main content

Subgradient Methods for Saddle-Point Problems

Overview of attention for article published in Journal of Optimization Theory and Applications, March 2009
Altmetric Badge

Mentioned by

twitter
4 X users

Citations

dimensions_citation
305 Dimensions

Readers on

mendeley
113 Mendeley
Title
Subgradient Methods for Saddle-Point Problems
Published in
Journal of Optimization Theory and Applications, March 2009
DOI 10.1007/s10957-009-9522-7
Authors

A. Nedić, A. Ozdaglar

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Italy 1 <1%
Hong Kong 1 <1%
Taiwan 1 <1%
China 1 <1%
United States 1 <1%
Unknown 107 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 38%
Researcher 13 12%
Student > Master 8 7%
Student > Doctoral Student 5 4%
Professor 5 4%
Other 16 14%
Unknown 23 20%
Readers by discipline Count As %
Engineering 44 39%
Computer Science 23 20%
Mathematics 15 13%
Energy 2 2%
Business, Management and Accounting 1 <1%
Other 4 4%
Unknown 24 21%
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 01 March 2018.
All research outputs
#14,060,054
of 24,049,457 outputs
Outputs from Journal of Optimization Theory and Applications
#157
of 618 outputs
Outputs of similar age
#79,018
of 96,338 outputs
Outputs of similar age from Journal of Optimization Theory and Applications
#1
of 1 outputs
Altmetric has tracked 24,049,457 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 618 research outputs from this source. They receive a mean Attention Score of 1.4. This one has gotten more attention than average, scoring higher than 74% 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 96,338 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% 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