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Conditional gradient algorithms for norm-regularized smooth convex optimization

Overview of attention for article published in Mathematical Programming, April 2014
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1 X user

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58 Mendeley
Title
Conditional gradient algorithms for norm-regularized smooth convex optimization
Published in
Mathematical Programming, April 2014
DOI 10.1007/s10107-014-0778-9
Authors

Zaid Harchaoui, Anatoli Juditsky, Arkadi Nemirovski

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

Geographical breakdown

Country Count As %
United States 2 3%
Switzerland 1 2%
Ireland 1 2%
France 1 2%
Denmark 1 2%
United Kingdom 1 2%
Unknown 51 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 34%
Researcher 10 17%
Student > Doctoral Student 6 10%
Professor > Associate Professor 5 9%
Student > Postgraduate 4 7%
Other 7 12%
Unknown 6 10%
Readers by discipline Count As %
Computer Science 25 43%
Mathematics 10 17%
Engineering 8 14%
Business, Management and Accounting 4 7%
Decision Sciences 2 3%
Other 2 3%
Unknown 7 12%
Attention Score in Context

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 19 July 2015.
All research outputs
#20,283,046
of 22,817,213 outputs
Outputs from Mathematical Programming
#588
of 677 outputs
Outputs of similar age
#193,353
of 226,898 outputs
Outputs of similar age from Mathematical Programming
#13
of 23 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 677 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.