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Using the Wild Bootstrap to Quantify Uncertainty in Mean Apparent Propagator MRI

Overview of attention for article published in Frontiers in Neuroinformatics, June 2019
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2 X users

Citations

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3 Dimensions

Readers on

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18 Mendeley
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Title
Using the Wild Bootstrap to Quantify Uncertainty in Mean Apparent Propagator MRI
Published in
Frontiers in Neuroinformatics, June 2019
DOI 10.3389/fninf.2019.00043
Pubmed ID
Authors

Xuan Gu, Anders Eklund, Evren Özarslan, Hans Knutsson

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Researcher 3 17%
Other 1 6%
Student > Master 1 6%
Student > Doctoral Student 1 6%
Other 2 11%
Unknown 6 33%
Readers by discipline Count As %
Medicine and Dentistry 4 22%
Computer Science 2 11%
Biochemistry, Genetics and Molecular Biology 1 6%
Psychology 1 6%
Agricultural and Biological Sciences 1 6%
Other 2 11%
Unknown 7 39%
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 13 June 2019.
All research outputs
#18,684,243
of 23,150,406 outputs
Outputs from Frontiers in Neuroinformatics
#630
of 759 outputs
Outputs of similar age
#263,810
of 353,688 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#17
of 17 outputs
Altmetric has tracked 23,150,406 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% 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 9th percentile – i.e., 9% 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 353,688 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 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.