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An Iterative Coordinate Descent Algorithm for High-Dimensional Nonconvex Penalized Quantile Regression

Overview of attention for article published in Journal of Computational and Graphical Statistics, September 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

policy
1 policy source

Readers on

mendeley
32 Mendeley
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Article details
Title
An Iterative Coordinate Descent Algorithm for High-Dimensional Nonconvex Penalized Quantile Regression
Published in
Journal of Computational and Graphical Statistics, September 2015
DOI 10.1080/10618600.2014.913516
Authors

Bo Peng, Lan Wang

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Timeline Attention over time Attention Score history
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Belgium 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 7 22%
Student > Doctoral Student 4 13%
Student > Master 2 6%
Researcher 2 6%
Professor > Associate Professor 2 6%
Other 4 13%
Unknown 11 34%
Readers by discipline
Readers by discipline Count As %
Mathematics 12 38%
Agricultural and Biological Sciences 2 6%
Economics, Econometrics and Finance 2 6%
Decision Sciences 2 6%
Unspecified 1 3%
Other 2 6%
Unknown 11 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 2022.
All research outputs
#8,411,853
of 25,130,202 outputs
Outputs from Journal of Computational and Graphical Statistics
#174
of 538 outputs
Outputs of similar age
#86,492
of 250,650 outputs
Outputs of similar age from Journal of Computational and Graphical Statistics
#2
of 3 outputs
Altmetric has tracked 25,130,202 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 538 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 52% 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 250,650 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 55% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.