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Low-Rank Plus Sparse Decomposition of fMRI Data With Application to Alzheimer's Disease

Overview of attention for article published in Frontiers in Neuroscience, March 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
5 Mendeley
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Title
Low-Rank Plus Sparse Decomposition of fMRI Data With Application to Alzheimer's Disease
Published in
Frontiers in Neuroscience, March 2022
DOI 10.3389/fnins.2022.826316
Pubmed ID
Authors

Wei Tu, Fangfang Fu, Linglong Kong, Bei Jiang, Dana Cobzas, Chao Huang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 20%
Unknown 4 80%
Readers by discipline Count As %
Chemical Engineering 1 20%
Unknown 4 80%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 08 April 2022.
All research outputs
#3,625,468
of 25,392,582 outputs
Outputs from Frontiers in Neuroscience
#3,053
of 11,543 outputs
Outputs of similar age
#82,697
of 449,583 outputs
Outputs of similar age from Frontiers in Neuroscience
#75
of 423 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 72% 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 449,583 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 81% of its contemporaries.
We're also able to compare this research output to 423 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.