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What can volumes reveal about human brain evolution? A framework for bridging behavioral, histometric, and volumetric perspectives

Overview of attention for article published in Frontiers in Neuroanatomy, June 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#28 of 1,250)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
2 news outlets
blogs
4 blogs
twitter
23 X users
googleplus
2 Google+ users
reddit
1 Redditor

Citations

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25 Dimensions

Readers on

mendeley
62 Mendeley
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Title
What can volumes reveal about human brain evolution? A framework for bridging behavioral, histometric, and volumetric perspectives
Published in
Frontiers in Neuroanatomy, June 2014
DOI 10.3389/fnana.2014.00051
Pubmed ID
Authors

Alexandra A. de Sousa, Michael J. Proulx

Abstract

An overall relationship between brain size and cognitive ability exists across primates. Can more specific information about neural function be gleaned from cortical area volumes? Numerous studies have found significant relationships between brain structures and behaviors. However, few studies have speculated about brain structure-function relationships from the microanatomical to the macroanatomical level. Here we address this problem in comparative neuroanatomy, where the functional relevance of overall brain size and the sizes of cortical regions have been poorly understood, by considering comparative psychology, with measures of visual acuity and the perception of visual illusions. We outline a model where the macroscopic size (volume or surface area) of a cortical region (such as the primary visual cortex, V1) is related to the microstructure of discrete brain regions. The hypothesis developed here is that an absolutely larger V1 can process more information with greater fidelity due to having more neurons to represent a field of space. This is the first time that the necessary comparative neuroanatomical research at the microstructural level has been brought to bear on the issue. The evidence suggests that as the size of V1 increases: the number of neurons increases, the neuron density decreases, and the density of neuronal connections increases. Thus, we describe how information about gross neuromorphology, using V1 as a model for the study of other cortical areas, may permit interpretations of cortical function.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Chile 1 2%
Australia 1 2%
United Kingdom 1 2%
Japan 1 2%
United States 1 2%
Unknown 56 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 18%
Student > Ph. D. Student 10 16%
Student > Bachelor 10 16%
Student > Master 8 13%
Student > Doctoral Student 6 10%
Other 14 23%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 26%
Neuroscience 11 18%
Psychology 11 18%
Medicine and Dentistry 4 6%
Social Sciences 3 5%
Other 10 16%
Unknown 7 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 54. 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 14 January 2023.
All research outputs
#776,418
of 25,165,468 outputs
Outputs from Frontiers in Neuroanatomy
#28
of 1,250 outputs
Outputs of similar age
#7,271
of 234,215 outputs
Outputs of similar age from Frontiers in Neuroanatomy
#3
of 23 outputs
Altmetric has tracked 25,165,468 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,250 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has done particularly well, scoring higher than 97% 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 234,215 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 96% of its contemporaries.
We're also able to compare this research output to 23 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 91% of its contemporaries.