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Sard theorems for Lipschitz functions and applications in optimization

Overview of attention for article published in Israel Journal of Mathematics, May 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#10 of 171)
  • Good Attention Score compared to outputs of the same age (77th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
4 Mendeley
Title
Sard theorems for Lipschitz functions and applications in optimization
Published in
Israel Journal of Mathematics, May 2016
DOI 10.1007/s11856-016-1308-7
Authors

Luc Barbet, Marc Dambrine, Aris Daniilidis, Ludovic Rifford

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Lecturer 1 25%
Professor 1 25%
Readers by discipline Count As %
Mathematics 2 50%
Unspecified 1 25%
Engineering 1 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 07 December 2016.
All research outputs
#1,937,070
of 12,486,432 outputs
Outputs from Israel Journal of Mathematics
#10
of 171 outputs
Outputs of similar age
#74,777
of 362,427 outputs
Outputs of similar age from Israel Journal of Mathematics
#1
of 1 outputs
Altmetric has tracked 12,486,432 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 171 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done particularly well, scoring higher than 94% 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 362,427 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
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