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Characterization of inflammatory markers and transcriptome profiles of differentially activated embryonic stem cell‐derived microglia

Overview of attention for article published in Glia, March 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

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1 news outlet
twitter
1 X user
googleplus
1 Google+ user

Citations

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23 Dimensions

Readers on

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58 Mendeley
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Title
Characterization of inflammatory markers and transcriptome profiles of differentially activated embryonic stem cell‐derived microglia
Published in
Glia, March 2016
DOI 10.1002/glia.22979
Pubmed ID
Authors

Eva Beins, Thomas Ulas, Svenja Ternes, Harald Neumann, Joachim L Schultze, Andreas Zimmer

Abstract

Microglia, the immune cells of the CNS, are highly adaptive cells that can acquire different pro- and anti-inflammatory activation states with distinct functions in CNS homeostasis and pathologies. To study microglial function in vitro, primary microglia or immortalized cell lines are commonly used. An alternative to these cells are embryonic stem cell-derived microglia (ESdM). ESdM have previously been shown to be very similar to primary microglia in terms of expression profiles and surface molecules. In this study, ESdM and primary microglia were treated with different inflammatory stimulants to analyze their ability to adopt different activation states. Using quantitative real-time PCR, comparative transcriptomics, ELISA, and flow cytometry, we found that different activation states can be induced in ESdM, which are similar to those found in primary microglia. These states are characterized by specific sets of inflammatory marker molecules and differential transcriptome signatures. Our results show that ESdM are a valuable alternative cell model to study microglial functions and neuroinflammatory mechanisms. GLIA 2016.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Korea, Republic of 1 2%
Unknown 56 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 31%
Researcher 14 24%
Student > Bachelor 5 9%
Student > Doctoral Student 3 5%
Student > Master 2 3%
Other 3 5%
Unknown 13 22%
Readers by discipline Count As %
Neuroscience 14 24%
Agricultural and Biological Sciences 10 17%
Medicine and Dentistry 9 16%
Immunology and Microbiology 4 7%
Biochemistry, Genetics and Molecular Biology 3 5%
Other 3 5%
Unknown 15 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 10 March 2016.
All research outputs
#3,194,008
of 24,558,777 outputs
Outputs from Glia
#350
of 2,354 outputs
Outputs of similar age
#49,284
of 305,377 outputs
Outputs of similar age from Glia
#9
of 28 outputs
Altmetric has tracked 24,558,777 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,354 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 84% 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 305,377 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 83% of its contemporaries.
We're also able to compare this research output to 28 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 64% of its contemporaries.