↓ Skip to main content

Flow-cytometric microglial sorting coupled with quantitative proteomics identifies moesin as a highly-abundant microglial protein with relevance to Alzheimer’s disease

Overview of attention for article published in Molecular Neurodegeneration, May 2020
Altmetric Badge

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 (84th percentile)

Mentioned by

news
1 news outlet
twitter
8 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
33 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
Flow-cytometric microglial sorting coupled with quantitative proteomics identifies moesin as a highly-abundant microglial protein with relevance to Alzheimer’s disease
Published in
Molecular Neurodegeneration, May 2020
DOI 10.1186/s13024-020-00377-5
Pubmed ID
Authors

Sruti Rayaprolu, Tianwen Gao, Hailian Xiao, Supriya Ramesha, Laura D. Weinstock, Jheel Shah, Duc M. Duong, Eric B. Dammer, James A. Webster, James J. Lah, Levi B. Wood, Ranjita Betarbet, Allan I. Levey, Nicholas T. Seyfried, Srikant Rangaraju

Twitter Demographics

The data shown below were collected from the profiles of 8 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Student > Master 5 15%
Student > Bachelor 5 15%
Researcher 3 9%
Professor > Associate Professor 2 6%
Other 2 6%
Unknown 9 27%
Readers by discipline Count As %
Neuroscience 9 27%
Agricultural and Biological Sciences 4 12%
Medicine and Dentistry 4 12%
Biochemistry, Genetics and Molecular Biology 3 9%
Arts and Humanities 1 3%
Other 2 6%
Unknown 10 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 01 June 2020.
All research outputs
#1,608,874
of 17,854,173 outputs
Outputs from Molecular Neurodegeneration
#123
of 698 outputs
Outputs of similar age
#43,640
of 286,782 outputs
Outputs of similar age from Molecular Neurodegeneration
#1
of 1 outputs
Altmetric has tracked 17,854,173 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 698 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 82% 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 286,782 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 84% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them