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Exactly Uncorrelated Sparse Principal Component Analysis

Overview of attention for article published in Journal of Computational and Graphical Statistics, August 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
7 X users

Readers on

mendeley
3 Mendeley
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Title
Exactly Uncorrelated Sparse Principal Component Analysis
Published in
Journal of Computational and Graphical Statistics, August 2023
DOI 10.1080/10618600.2023.2232843
Authors

Oh-Ran Kwon, Zhaosong Lu, Hui Zou

Timeline

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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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 %
Unspecified 1 33%
Student > Ph. D. Student 1 33%
Student > Bachelor 1 33%
Readers by discipline Count As %
Mathematics 2 67%
Unspecified 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 02 September 2023.
All research outputs
#6,611,440
of 25,726,194 outputs
Outputs from Journal of Computational and Graphical Statistics
#139
of 593 outputs
Outputs of similar age
#96,475
of 357,574 outputs
Outputs of similar age from Journal of Computational and Graphical Statistics
#3
of 12 outputs
Altmetric has tracked 25,726,194 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 593 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 76% 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 357,574 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 72% of its contemporaries.
We're also able to compare this research output to 12 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.