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Masculinity/Femininity Predicts Brain Volumes in Normal Healthy Children

Overview of attention for article published in Developmental Neuropsychology, January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#27 of 466)
  • High Attention Score compared to outputs of the same age (93rd percentile)

Mentioned by

news
1 news outlet
twitter
11 X users
reddit
1 Redditor

Readers on

mendeley
35 Mendeley
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Article details
Title
Masculinity/Femininity Predicts Brain Volumes in Normal Healthy Children
Published in
Developmental Neuropsychology, January 2014
DOI 10.1080/87565641.2013.839681
Pubmed ID
Authors
Abstract

Previous research has shown sex differences in brain morphology ( De Bellis et al., 2001 ). However, these studies have not taken gender into account. Gender is a phenotype that describes behavior. In this study, we examined the relationship between gender, sex, and brain volumes in children. One hundred and eight children ages 7 to 17 were administered the Children's Sex Role Inventory ( Boldizar, 1991 ) and obtained volumetric brain data via magnetic resonance imaging (MRI). We found that, in the frontal lobe, higher masculinity predicted greater volumes of white matter. Also, in the temporal lobe, higher femininity predicted greater volumes of gray matter.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 8 23%
Student > Master 7 20%
Student > Doctoral Student 3 9%
Lecturer 2 6%
Researcher 2 6%
Other 4 11%
Unknown 9 26%
Readers by discipline
Readers by discipline Count As %
Psychology 10 29%
Neuroscience 4 11%
Agricultural and Biological Sciences 2 6%
Medicine and Dentistry 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 4 11%
Unknown 12 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 08 September 2025.
All research outputs
#2,680,522
of 34,240,563 outputs
Outputs from Developmental Neuropsychology
#27
of 466 outputs
Outputs of similar age
#25,552
of 371,516 outputs
Outputs of similar age from Developmental Neuropsychology
#1
of 2 outputs
Altmetric has tracked 34,240,563 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 466 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done particularly well, scoring higher than 94% 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 371,516 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 93% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them