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Sources of residual autocorrelation in multiband task fMRI and strategies for effective mitigation

Overview of attention for article published in Frontiers in Neuroscience, January 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 (75th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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8 X users

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4 Mendeley
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Title
Sources of residual autocorrelation in multiband task fMRI and strategies for effective mitigation
Published in
Frontiers in Neuroscience, January 2023
DOI 10.3389/fnins.2022.1051424
Pubmed ID
Authors

Fatma Parlak, Damon D. Pham, Daniel A. Spencer, Robert C. Welsh, Amanda F. Mejia

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Student > Bachelor 1 25%
Researcher 1 25%
Other 1 25%
Readers by discipline Count As %
Computer Science 1 25%
Earth and Planetary Sciences 1 25%
Energy 1 25%
Unknown 1 25%
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 20 February 2023.
All research outputs
#5,755,169
of 26,456,908 outputs
Outputs from Frontiers in Neuroscience
#4,281
of 11,883 outputs
Outputs of similar age
#119,428
of 493,060 outputs
Outputs of similar age from Frontiers in Neuroscience
#84
of 448 outputs
Altmetric has tracked 26,456,908 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 11,883 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has gotten more attention than average, scoring higher than 63% 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 493,060 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 75% of its contemporaries.
We're also able to compare this research output to 448 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.