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Manifold learning for fMRI time-varying functional connectivity

Overview of attention for article published in Frontiers in Human Neuroscience, July 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
10 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Manifold learning for fMRI time-varying functional connectivity
Published in
Frontiers in Human Neuroscience, July 2023
DOI 10.3389/fnhum.2023.1134012
Pubmed ID
Authors

Javier Gonzalez-Castillo, Isabel S. Fernandez, Ka Chun Lam, Daniel A. Handwerker, Francisco Pereira, Peter A. Bandettini

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Researcher 2 17%
Unknown 7 58%
Readers by discipline Count As %
Medicine and Dentistry 2 17%
Mathematics 1 8%
Neuroscience 1 8%
Engineering 1 8%
Unknown 7 58%
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 26 January 2024.
All research outputs
#6,602,406
of 26,552,644 outputs
Outputs from Frontiers in Human Neuroscience
#2,386
of 7,859 outputs
Outputs of similar age
#99,631
of 376,082 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#22
of 98 outputs
Altmetric has tracked 26,552,644 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,859 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has gotten more attention than average, scoring higher than 69% 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 376,082 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 73% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.