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FuNP (Fusion of Neuroimaging Preprocessing) Pipelines: A Fully Automated Preprocessing Software for Functional Magnetic Resonance Imaging

Overview of attention for article published in Frontiers in Neuroinformatics, February 2019
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1 X user

Citations

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114 Mendeley
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Title
FuNP (Fusion of Neuroimaging Preprocessing) Pipelines: A Fully Automated Preprocessing Software for Functional Magnetic Resonance Imaging
Published in
Frontiers in Neuroinformatics, February 2019
DOI 10.3389/fninf.2019.00005
Pubmed ID
Authors

Bo-yong Park, Kyoungseob Byeon, Hyunjin Park

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 114 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 16%
Student > Master 16 14%
Researcher 10 9%
Student > Bachelor 9 8%
Other 5 4%
Other 8 7%
Unknown 48 42%
Readers by discipline Count As %
Neuroscience 20 18%
Computer Science 10 9%
Psychology 10 9%
Engineering 9 8%
Medicine and Dentistry 4 4%
Other 10 9%
Unknown 51 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 February 2019.
All research outputs
#20,554,592
of 23,128,387 outputs
Outputs from Frontiers in Neuroinformatics
#688
of 759 outputs
Outputs of similar age
#376,991
of 445,707 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#15
of 18 outputs
Altmetric has tracked 23,128,387 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 759 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 445,707 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.