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Transition from an M1 to a mixed neuroinflammatory phenotype increases amyloid deposition in APP/PS1 transgenic mice

Overview of attention for article published in Journal of Neuroinflammation, July 2014
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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1 news outlet
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1 X user

Citations

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40 Dimensions

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53 Mendeley
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Title
Transition from an M1 to a mixed neuroinflammatory phenotype increases amyloid deposition in APP/PS1 transgenic mice
Published in
Journal of Neuroinflammation, July 2014
DOI 10.1186/1742-2094-11-127
Pubmed ID
Authors

Erica M Weekman, Tiffany L Sudduth, Erin L Abner, Gabriel J Popa, Michael D Mendenhall, Holly M Brothers, Kaitlyn Braun, Abigail Greenstein, Donna M Wilcock

Abstract

The polarization to different neuroinflammatory phenotypes has been described in early Alzheimer's disease, yet the impact of these phenotypes on amyloid-beta (Abeta) pathology remains unknown. Short-term studies show that induction of an M1 neuroinflammatory phenotype reduces Abeta, but long-term studies have not been performed that track the neuroinflammatory phenotype.

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

Geographical breakdown

Country Count As %
Spain 2 4%
United States 1 2%
Canada 1 2%
Unknown 49 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 26%
Researcher 13 25%
Student > Bachelor 10 19%
Student > Master 4 8%
Student > Doctoral Student 3 6%
Other 6 11%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 30%
Neuroscience 12 23%
Biochemistry, Genetics and Molecular Biology 9 17%
Medicine and Dentistry 5 9%
Psychology 1 2%
Other 3 6%
Unknown 7 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 09 August 2014.
All research outputs
#3,112,771
of 22,758,963 outputs
Outputs from Journal of Neuroinflammation
#596
of 2,619 outputs
Outputs of similar age
#32,424
of 228,769 outputs
Outputs of similar age from Journal of Neuroinflammation
#2
of 28 outputs
Altmetric has tracked 22,758,963 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 2,619 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 75% 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 228,769 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 85% 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 done well, scoring higher than 89% of its contemporaries.