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Current Status and Issues Regarding Pre-processing of fNIRS Neuroimaging Data: An Investigation of Diverse Signal Filtering Methods Within a General Linear Model Framework

Overview of attention for article published in Frontiers in Human Neuroscience, January 2019
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
35 X users

Readers on

mendeley
394 Mendeley
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Title
Current Status and Issues Regarding Pre-processing of fNIRS Neuroimaging Data: An Investigation of Diverse Signal Filtering Methods Within a General Linear Model Framework
Published in
Frontiers in Human Neuroscience, January 2019
DOI 10.3389/fnhum.2018.00505
Pubmed ID
Authors

Paola Pinti, Felix Scholkmann, Antonia Hamilton, Paul Burgess, Ilias Tachtsidis

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 394 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 394 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 79 20%
Student > Master 54 14%
Student > Bachelor 48 12%
Researcher 34 9%
Student > Doctoral Student 23 6%
Other 51 13%
Unknown 105 27%
Readers by discipline Count As %
Engineering 68 17%
Neuroscience 67 17%
Psychology 47 12%
Medicine and Dentistry 16 4%
Computer Science 15 4%
Other 58 15%
Unknown 123 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 23 May 2023.
All research outputs
#1,617,756
of 26,492,979 outputs
Outputs from Frontiers in Human Neuroscience
#730
of 7,843 outputs
Outputs of similar age
#36,089
of 451,358 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#10
of 126 outputs
Altmetric has tracked 26,492,979 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,843 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has done particularly well, scoring higher than 90% 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 451,358 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.