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Significance testing in non-sparse high-dimensional linear models

Overview of attention for article published in The Electronic Journal of Statistics, January 2018
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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 (75th percentile)

Mentioned by

twitter
7 X users
facebook
2 Facebook pages

Readers on

mendeley
22 Mendeley
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Article details
Title
Significance testing in non-sparse high-dimensional linear models
Published in
The Electronic Journal of Statistics, January 2018
DOI 10.1214/18-ejs1443
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 7 32%
Student > Doctoral Student 2 9%
Other 1 5%
Researcher 1 5%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 10 45%
Readers by discipline
Readers by discipline Count As %
Mathematics 10 45%
Agricultural and Biological Sciences 1 5%
Decision Sciences 1 5%
Unknown 10 45%
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 06 October 2018.
All research outputs
#11,464,118
of 34,377,743 outputs
Outputs from The Electronic Journal of Statistics
#87
of 416 outputs
Outputs of similar age
#167,350
of 496,086 outputs
Outputs of similar age from The Electronic Journal of Statistics
#8
of 41 outputs
Altmetric has tracked 34,377,743 research outputs across all sources so far. This one has received more attention than most of these and is in the 65th percentile.
So far Altmetric has tracked 416 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done well, scoring higher than 77% 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 496,086 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 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.