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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
76 tweeters
facebook
1 Facebook page

Citations

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95 Dimensions

Readers on

mendeley
331 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 76 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 %
Unknown 331 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 84 25%
Researcher 66 20%
Student > Master 44 13%
Student > Bachelor 31 9%
Student > Postgraduate 16 5%
Other 52 16%
Unknown 38 11%
Readers by discipline Count As %
Neuroscience 89 27%
Agricultural and Biological Sciences 52 16%
Biochemistry, Genetics and Molecular Biology 49 15%
Immunology and Microbiology 39 12%
Medicine and Dentistry 23 7%
Other 36 11%
Unknown 43 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 29 September 2020.
All research outputs
#470,951
of 16,114,024 outputs
Outputs from Nature Neuroscience
#990
of 4,617 outputs
Outputs of similar age
#15,627
of 280,200 outputs
Outputs of similar age from Nature Neuroscience
#34
of 63 outputs
Altmetric has tracked 16,114,024 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 4,617 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. 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 280,200 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 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.