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Neurostereology protocol for unbiased quantification of neuronal injury and neurodegeneration

Overview of attention for article published in Frontiers in Aging Neuroscience, October 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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1 news outlet
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2 X users

Citations

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59 Dimensions

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144 Mendeley
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Title
Neurostereology protocol for unbiased quantification of neuronal injury and neurodegeneration
Published in
Frontiers in Aging Neuroscience, October 2015
DOI 10.3389/fnagi.2015.00196
Pubmed ID
Authors

Victoria M. Golub, Jonathan Brewer, Xin Wu, Ramkumar Kuruba, Jenessa Short, Maunica Manchi, Megan Swonke, Iyan Younus, Doodipala Samba Reddy

Abstract

Neuronal injury and neurodegeneration are the hallmark pathologies in a variety of neurological conditions such as epilepsy, stroke, traumatic brain injury, Parkinson's disease and Alzheimer's disease. Quantification of absolute neuron and interneuron counts in various brain regions is essential to understand the impact of neurological insults or neurodegenerative disease progression in animal models. However, conventional qualitative scoring-based protocols are superficial and less reliable for use in studies of neuroprotection evaluations. Here, we describe an optimized stereology protocol for quantification of neuronal injury and neurodegeneration by unbiased counting of neurons and interneurons. Every 20th section in each series of 20 sections was processed for NeuN(+) total neuron and parvalbumin(+) interneuron immunostaining. The sections that contain the hippocampus were then delineated into five reliably predefined subregions. Each region was separately analyzed with a microscope driven by the stereology software. Regional tissue volume was determined by using the Cavalieri estimator, as well as cell density and cell number were determined by using the optical disector and optical fractionator. This protocol yielded an estimate of 1.5 million total neurons and 0.05 million PV(+) interneurons within the rat hippocampus. The protocol has greater predictive power for absolute counts as it is based on 3D features rather than 2D images. The total neuron counts were consistent with literature values from sophisticated systems, which are more expensive than our stereology system. This unbiased stereology protocol allows for sensitive, medium-throughput counting of total neurons in any brain region, and thus provides a quantitative tool for studies of neuronal injury and neurodegeneration in a variety of acute brain injury and chronic neurological models.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
United States 1 <1%
Unknown 142 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 24 17%
Student > Ph. D. Student 21 15%
Researcher 21 15%
Student > Master 16 11%
Student > Doctoral Student 11 8%
Other 22 15%
Unknown 29 20%
Readers by discipline Count As %
Neuroscience 50 35%
Agricultural and Biological Sciences 15 10%
Medicine and Dentistry 15 10%
Biochemistry, Genetics and Molecular Biology 9 6%
Psychology 5 3%
Other 13 9%
Unknown 37 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 27 November 2015.
All research outputs
#2,960,473
of 23,314,015 outputs
Outputs from Frontiers in Aging Neuroscience
#1,339
of 4,941 outputs
Outputs of similar age
#43,206
of 285,489 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#12
of 54 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,941 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has gotten more attention than average, scoring higher than 71% 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 285,489 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 84% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.