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Morphometric characterization of microglial phenotypes in human cerebral cortex

Overview of attention for article published in Journal of Neuroinflammation, January 2014
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2 tweeters

Citations

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Title
Morphometric characterization of microglial phenotypes in human cerebral cortex
Published in
Journal of Neuroinflammation, January 2014
DOI 10.1186/1742-2094-11-12
Pubmed ID
Authors

Susana G Torres-Platas, Samuel Comeau, Adeline Rachalski, Gregory Dal Bo, Cristiana Cruceanu, Gustavo Turecki, Bruno Giros, Naguib Mechawar

Abstract

Microglia can adopt different morphologies, ranging from a highly ramified to an amoeboid-like phenotype. Although morphological properties of microglia have been described in rodents, little is known about their fine features in humans. The aim of this study was to characterize the morphometric properties of human microglia in gray and white matter of dorsal anterior cingulate cortex (dACC), a region implicated in behavioral adaptation to neuroinflammation. These properties were compared to those of murine microglia in order to gain a better appreciation of the differences displayed by these cells across species.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 331 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Brazil 1 <1%
Romania 1 <1%
China 1 <1%
Spain 1 <1%
Unknown 325 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 74 22%
Student > Master 52 16%
Student > Bachelor 48 15%
Researcher 41 12%
Student > Doctoral Student 20 6%
Other 42 13%
Unknown 54 16%
Readers by discipline Count As %
Neuroscience 91 27%
Agricultural and Biological Sciences 61 18%
Medicine and Dentistry 40 12%
Biochemistry, Genetics and Molecular Biology 25 8%
Immunology and Microbiology 11 3%
Other 32 10%
Unknown 71 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 October 2018.
All research outputs
#14,363,350
of 21,361,101 outputs
Outputs from Journal of Neuroinflammation
#1,615
of 2,455 outputs
Outputs of similar age
#174,485
of 287,531 outputs
Outputs of similar age from Journal of Neuroinflammation
#15
of 19 outputs
Altmetric has tracked 21,361,101 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,455 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 287,531 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.