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Identification of a dysfunctional microglial population in human Alzheimer’s disease cortex using novel single-cell histology image analysis

Overview of attention for article published in Acta Neuropathologica Communications, October 2020
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
2 news outlets
twitter
10 X users

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
99 Mendeley
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Title
Identification of a dysfunctional microglial population in human Alzheimer’s disease cortex using novel single-cell histology image analysis
Published in
Acta Neuropathologica Communications, October 2020
DOI 10.1186/s40478-020-01047-9
Pubmed ID
Authors

Molly E. V. Swanson, Emma L. Scotter, Leon C. D. Smyth, Helen C. Murray, Brigid Ryan, Clinton Turner, Richard L. M. Faull, Mike Dragunow, Maurice A. Curtis

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users 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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 14%
Researcher 13 13%
Student > Ph. D. Student 11 11%
Student > Master 8 8%
Student > Postgraduate 7 7%
Other 12 12%
Unknown 34 34%
Readers by discipline Count As %
Neuroscience 18 18%
Biochemistry, Genetics and Molecular Biology 12 12%
Agricultural and Biological Sciences 11 11%
Medicine and Dentistry 6 6%
Immunology and Microbiology 4 4%
Other 8 8%
Unknown 40 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 23 October 2020.
All research outputs
#1,389,152
of 23,577,761 outputs
Outputs from Acta Neuropathologica Communications
#114
of 1,436 outputs
Outputs of similar age
#38,375
of 420,932 outputs
Outputs of similar age from Acta Neuropathologica Communications
#6
of 53 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,436 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has done particularly well, scoring higher than 92% 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 420,932 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 90% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.