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Neuronal Density and Architecture (Gray Level Index) in the Brains of Autistic Patients

Overview of attention for article published in Journal of Child Neurology, July 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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1 policy source
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1 X user
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3 Wikipedia pages

Citations

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102 Dimensions

Readers on

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75 Mendeley
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Title
Neuronal Density and Architecture (Gray Level Index) in the Brains of Autistic Patients
Published in
Journal of Child Neurology, July 2016
DOI 10.1177/088307380201700708
Pubmed ID
Authors

Manuel F. Casanova, Daniel P. Buxhoeveden, Andrew E. Switala, Emil Roy

Abstract

Although neuropathologic studies have centered on small samples, it is accepted that brains of autistic individuals tend to be large, on average. Knowledge regarding the cause of this macrocephaly is limited. Postmortem studies reveal little in terms of cortical dysplasia. Some of these studies suggest increased cell-packing density in subcortical structures. These neuronomorphometric studies have been subjective or based their conclusions on measures of neuronal density. Our study sought the possible presence of increased cell-packing density by using the Gray Level Index. The Gray Level Index is defined as the ratio of the area covered by Nissl-stained elements to unstained area in postmortem samples. Analyzed images included Brodmann's cortical areas 9, 21, and 22 of 9 autistic patients (7 males, 2 females; mean age of 12 years, with a range of 5 to 28 years) and 11 normal controls (7 males, 4 females; mean age of 14 years, with a range of 3 to 25 years). The overall multivariate test revealed significant differences both between autistic patients and controls (P = .001) and between hemispheres (P = .025). Follow-up univariate tests showed significant diagnosis-dependent effects in feature distance (P = .005), the standard deviation in distance (P = .016), and feature amplitude (P = .001). The overall mean Gray Level Index was 19.4% in controls and 18.7% in autism (P = .724). In autism, an increased number of minicolumns, combined with fewer cells per column (or their greater dispersion), results in no global difference in neuronal density.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 7%
Unknown 70 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 29%
Researcher 14 19%
Student > Bachelor 8 11%
Professor 6 8%
Student > Master 6 8%
Other 10 13%
Unknown 9 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 31%
Neuroscience 15 20%
Medicine and Dentistry 11 15%
Psychology 8 11%
Mathematics 2 3%
Other 8 11%
Unknown 8 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 July 2017.
All research outputs
#4,502,388
of 22,739,983 outputs
Outputs from Journal of Child Neurology
#322
of 2,368 outputs
Outputs of similar age
#80,374
of 350,462 outputs
Outputs of similar age from Journal of Child Neurology
#50
of 434 outputs
Altmetric has tracked 22,739,983 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,368 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 86% 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 350,462 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 434 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.