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NeoRS: A Neonatal Resting State fMRI Data Preprocessing Pipeline

Overview of attention for article published in Frontiers in Neuroinformatics, June 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
5 X users

Readers on

mendeley
8 Mendeley
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Title
NeoRS: A Neonatal Resting State fMRI Data Preprocessing Pipeline
Published in
Frontiers in Neuroinformatics, June 2022
DOI 10.3389/fninf.2022.843114
Pubmed ID
Authors

Vicente Enguix, Jeanette Kenley, David Luck, Julien Cohen-Adad, Gregory Anton Lodygensky

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Student > Ph. D. Student 2 25%
Unspecified 1 13%
Unknown 3 38%
Readers by discipline Count As %
Unspecified 1 13%
Linguistics 1 13%
Computer Science 1 13%
Psychology 1 13%
Neuroscience 1 13%
Other 0 0%
Unknown 3 38%
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 30 June 2022.
All research outputs
#8,109,965
of 24,490,209 outputs
Outputs from Frontiers in Neuroinformatics
#385
of 805 outputs
Outputs of similar age
#151,998
of 432,515 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#15
of 33 outputs
Altmetric has tracked 24,490,209 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 805 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 51% 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 432,515 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 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.