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Improving standards in brain-behavior correlation analyses

Overview of attention for article published in Frontiers in Human Neuroscience, January 2012
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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 (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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27 X users

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405 Mendeley
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1 CiteULike
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Title
Improving standards in brain-behavior correlation analyses
Published in
Frontiers in Human Neuroscience, January 2012
DOI 10.3389/fnhum.2012.00119
Pubmed ID
Authors

Guillaume A. Rousselet, Cyril R. Pernet

Abstract

Associations between two variables, for instance between brain and behavioral measurements, are often studied using correlations, and in particular Pearson correlation. However, Pearson correlation is not robust: outliers can introduce false correlations or mask existing ones. These problems are exacerbated in brain imaging by a widespread lack of control for multiple comparisons, and several issues with data interpretations. We illustrate these important problems associated with brain-behavior correlations, drawing examples from published articles. We make several propositions to alleviate these problems.

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 405 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 5 1%
United Kingdom 5 1%
United States 5 1%
Canada 4 <1%
Switzerland 2 <1%
Italy 2 <1%
Finland 1 <1%
Czechia 1 <1%
Netherlands 1 <1%
Other 3 <1%
Unknown 376 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 103 25%
Researcher 87 21%
Student > Master 46 11%
Student > Doctoral Student 25 6%
Other 17 4%
Other 69 17%
Unknown 58 14%
Readers by discipline Count As %
Psychology 112 28%
Neuroscience 62 15%
Agricultural and Biological Sciences 39 10%
Medicine and Dentistry 26 6%
Engineering 19 5%
Other 53 13%
Unknown 94 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 29 May 2021.
All research outputs
#2,138,405
of 25,375,376 outputs
Outputs from Frontiers in Human Neuroscience
#984
of 7,669 outputs
Outputs of similar age
#15,285
of 256,386 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#60
of 293 outputs
Altmetric has tracked 25,375,376 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,669 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done well, scoring higher than 87% 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 256,386 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 94% of its contemporaries.
We're also able to compare this research output to 293 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.