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ℓ1-penalization for mixture regression models

Overview of attention for article published in arXiv, June 2010
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
193 Dimensions

Readers on

mendeley
93 Mendeley
Title
ℓ1-penalization for mixture regression models
Published in
arXiv, June 2010
DOI 10.1007/s11749-010-0197-z
Authors

Nicolas Städler, Peter Bühlmann, Sara van de Geer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
France 1 1%
Cuba 1 1%
Australia 1 1%
United Kingdom 1 1%
United States 1 1%
Unknown 87 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 35%
Researcher 16 17%
Student > Doctoral Student 8 9%
Professor > Associate Professor 5 5%
Student > Bachelor 4 4%
Other 13 14%
Unknown 14 15%
Readers by discipline Count As %
Mathematics 34 37%
Computer Science 16 17%
Engineering 9 10%
Economics, Econometrics and Finance 3 3%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 10 11%
Unknown 19 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 10 November 2020.
All research outputs
#7,170,037
of 22,663,150 outputs
Outputs from arXiv
#157,596
of 928,104 outputs
Outputs of similar age
#32,362
of 92,975 outputs
Outputs of similar age from arXiv
#192
of 601 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 928,104 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 82% 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 92,975 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 64% of its contemporaries.
We're also able to compare this research output to 601 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.