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Genes and pathways underlying regional and cell type changes in Alzheimer's disease

Overview of attention for article published in Genome Medicine, January 2013
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
5 tweeters
patent
1 patent
googleplus
1 Google+ user

Citations

dimensions_citation
184 Dimensions

Readers on

mendeley
245 Mendeley
citeulike
1 CiteULike
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Title
Genes and pathways underlying regional and cell type changes in Alzheimer's disease
Published in
Genome Medicine, January 2013
DOI 10.1186/gm452
Pubmed ID
Authors

Jeremy A Miller, Randall L Woltjer, Jeff M Goodenbour, Steve Horvath, Daniel H Geschwind

Abstract

Transcriptional studies suggest Alzheimer's disease (AD) involves dysfunction of many cellular pathways, including synaptic transmission, cytoskeletal dynamics, energetics, and apoptosis. Despite known progression of AD pathologies, it is unclear how such striking regional vulnerability occurs, or which genes play causative roles in disease progression.

Twitter Demographics

The data shown below were collected from the profiles of 5 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 245 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Netherlands 1 <1%
Germany 1 <1%
United Kingdom 1 <1%
Israel 1 <1%
Unknown 237 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 23%
Researcher 47 19%
Student > Master 32 13%
Student > Bachelor 24 10%
Professor 15 6%
Other 44 18%
Unknown 26 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 74 30%
Neuroscience 39 16%
Biochemistry, Genetics and Molecular Biology 37 15%
Medicine and Dentistry 21 9%
Computer Science 11 4%
Other 30 12%
Unknown 33 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 07 June 2018.
All research outputs
#1,218,259
of 19,767,699 outputs
Outputs from Genome Medicine
#266
of 1,293 outputs
Outputs of similar age
#11,130
of 171,979 outputs
Outputs of similar age from Genome Medicine
#2
of 16 outputs
Altmetric has tracked 19,767,699 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,293 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.6. This one has done well, scoring higher than 79% 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 171,979 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 93% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.