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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
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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
2 patents
facebook
1 Facebook page

Citations

dimensions_citation
174 Dimensions

Readers on

mendeley
425 Mendeley
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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 425 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 425 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 100 24%
Researcher 75 18%
Student > Master 54 13%
Student > Bachelor 38 9%
Student > Doctoral Student 19 4%
Other 62 15%
Unknown 77 18%
Readers by discipline Count As %
Neuroscience 106 25%
Biochemistry, Genetics and Molecular Biology 61 14%
Agricultural and Biological Sciences 58 14%
Immunology and Microbiology 47 11%
Medicine and Dentistry 30 7%
Other 41 10%
Unknown 82 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 56. 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 26 April 2022.
All research outputs
#583,224
of 21,385,220 outputs
Outputs from Nature Neuroscience
#1,121
of 5,086 outputs
Outputs of similar age
#14,993
of 295,468 outputs
Outputs of similar age from Nature Neuroscience
#32
of 63 outputs
Altmetric has tracked 21,385,220 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 5,086 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 50.9. This one has done well, scoring higher than 77% 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 295,468 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 has gotten more attention than average, scoring higher than 50% of its contemporaries.