↓ Skip to main content

Single-cell mass cytometry reveals distinct populations of brain myeloid cells in mouse neuroinflammation and neurodegeneration models

Overview of attention for article published in Nature Neuroscience, March 2018
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
74 tweeters
patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
121 Dimensions

Readers on

mendeley
380 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Single-cell mass cytometry reveals distinct populations of brain myeloid cells in mouse neuroinflammation and neurodegeneration models
Published in
Nature Neuroscience, March 2018
DOI 10.1038/s41593-018-0100-x
Pubmed ID
Authors

Bahareh Ajami, Nikolay Samusik, Peter Wieghofer, Peggy P. Ho, Andrea Crotti, Zach Bjornson, Marco Prinz, Wendy J. Fantl, Garry P. Nolan, Lawrence Steinman

Abstract

Neuroinflammation and neurodegeneration may represent two poles of brain pathology. Brain myeloid cells, particularly microglia, play key roles in these conditions. We employed single-cell mass cytometry (CyTOF) to compare myeloid cell populations in the experimental autoimmune encephalomyelitis (EAE) model of multiple sclerosis, the R6/2 model of Huntington's disease (HD) and the mutant superoxide dismutase 1 (mSOD1) model of amyotrophic lateral sclerosis (ALS). We identified three myeloid cell populations exclusive to the CNS and present in each disease model. Blood-derived monocytes comprised five populations and migrated to the brain in EAE, but not in HD and ALS models. Single-cell analysis resolved differences in signaling and cytokine production within similar myeloid populations in EAE compared to HD and ALS models. Moreover, these analyses highlighted α5 integrin on myeloid cells as a potential therapeutic target for neuroinflammation. Together, these findings illustrate how neuropathology may differ between inflammatory and degenerative brain disease.

Twitter Demographics

The data shown below were collected from the profiles of 74 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 380 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 380 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 92 24%
Researcher 69 18%
Student > Master 47 12%
Student > Bachelor 34 9%
Student > Doctoral Student 25 7%
Other 59 16%
Unknown 54 14%
Readers by discipline Count As %
Neuroscience 95 25%
Biochemistry, Genetics and Molecular Biology 64 17%
Agricultural and Biological Sciences 54 14%
Immunology and Microbiology 42 11%
Medicine and Dentistry 25 7%
Other 40 11%
Unknown 60 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 52. 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 28 March 2021.
All research outputs
#509,201
of 17,948,621 outputs
Outputs from Nature Neuroscience
#1,048
of 4,787 outputs
Outputs of similar age
#15,155
of 286,126 outputs
Outputs of similar age from Nature Neuroscience
#34
of 63 outputs
Altmetric has tracked 17,948,621 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,787 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 47.1. This one has done well, scoring higher than 78% 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 286,126 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 94% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.