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A generalized conditional gradient method and its connection to an iterative shrinkage method

Overview of attention for article published in Computational Optimization and Applications, November 2007
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About this Attention Score

  • Among the highest-scoring outputs from this source (#14 of 338)
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
75 Dimensions

Readers on

mendeley
31 Mendeley
Title
A generalized conditional gradient method and its connection to an iterative shrinkage method
Published in
Computational Optimization and Applications, November 2007
DOI 10.1007/s10589-007-9083-3
Authors

Kristian Bredies, Dirk A. Lorenz, Peter Maass

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Germany 1 3%
Unknown 29 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 29%
Student > Ph. D. Student 9 29%
Student > Doctoral Student 4 13%
Professor > Associate Professor 3 10%
Student > Master 2 6%
Other 1 3%
Unknown 3 10%
Readers by discipline Count As %
Mathematics 12 39%
Computer Science 7 23%
Engineering 4 13%
Psychology 1 3%
Arts and Humanities 1 3%
Other 2 6%
Unknown 4 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 13 May 2014.
All research outputs
#6,107,914
of 23,854,458 outputs
Outputs from Computational Optimization and Applications
#14
of 338 outputs
Outputs of similar age
#21,919
of 78,509 outputs
Outputs of similar age from Computational Optimization and Applications
#2
of 10 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 338 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 78,509 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 71% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.