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Second-order orthant-based methods with enriched Hessian information for sparse ℓ1-optimization

Overview of attention for article published in Computational Optimization and Applications, January 2017
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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 (#8 of 354)
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

twitter
9 X users

Citations

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5 Dimensions

Readers on

mendeley
3 Mendeley
Title
Second-order orthant-based methods with enriched Hessian information for sparse ℓ1-optimization
Published in
Computational Optimization and Applications, January 2017
DOI 10.1007/s10589-017-9891-z
Authors

J. C. De Los Reyes, E. Loayza, P. Merino

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 33%
Researcher 1 33%
Unknown 1 33%
Readers by discipline Count As %
Mathematics 2 67%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 31 January 2017.
All research outputs
#4,273,606
of 24,393,299 outputs
Outputs from Computational Optimization and Applications
#8
of 354 outputs
Outputs of similar age
#81,580
of 427,170 outputs
Outputs of similar age from Computational Optimization and Applications
#2
of 4 outputs
Altmetric has tracked 24,393,299 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 354 research outputs from this source. They receive a mean Attention Score of 1.4. This one has done particularly well, scoring higher than 98% 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 427,170 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 80% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.