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Multiscale Analysis of Independent Alzheimer’s Cohorts Finds Disruption of Molecular, Genetic, and Clinical Networks by Human Herpesvirus

Overview of attention for article published in Neuron, July 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 8,012)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
217 news outlets
blogs
27 blogs
twitter
796 tweeters
facebook
36 Facebook pages
wikipedia
1 Wikipedia page
reddit
3 Redditors
video
5 video uploaders

Readers on

mendeley
585 Mendeley
citeulike
1 CiteULike
Title
Multiscale Analysis of Independent Alzheimer’s Cohorts Finds Disruption of Molecular, Genetic, and Clinical Networks by Human Herpesvirus
Published in
Neuron, July 2018
DOI 10.1016/j.neuron.2018.05.023
Pubmed ID
Authors

Ben Readhead, Jean-Vianney Haure-Mirande, Cory C. Funk, Matthew A. Richards, Paul Shannon, Vahram Haroutunian, Mary Sano, Winnie S. Liang, Noam D. Beckmann, Nathan D. Price, Eric M. Reiman, Eric E. Schadt, Michelle E. Ehrlich, Sam Gandy, Joel T. Dudley

Abstract

Investigators have long suspected that pathogenic microbes might contribute to the onset and progression of Alzheimer's disease (AD) although definitive evidence has not been presented. Whether such findings represent a causal contribution, or reflect opportunistic passengers of neurodegeneration, is also difficult to resolve. We constructed multiscale networks of the late-onset AD-associated virome, integrating genomic, transcriptomic, proteomic, and histopathological data across four brain regions from human post-mortem tissue. We observed increased human herpesvirus 6A (HHV-6A) and human herpesvirus 7 (HHV-7) from subjects with AD compared with controls. These results were replicated in two additional, independent and geographically dispersed cohorts. We observed regulatory relationships linking viral abundance and modulators of APP metabolism, including induction of APBB2, APPBP2, BIN1, BACE1, CLU, PICALM, and PSEN1 by HHV-6A. This study elucidates networks linking molecular, clinical, and neuropathological features with viral activity and is consistent with viral activity constituting a general feature of AD.

Twitter Demographics

The data shown below were collected from the profiles of 796 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 585 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 585 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 139 24%
Student > Ph. D. Student 110 19%
Student > Bachelor 69 12%
Student > Master 57 10%
Other 36 6%
Other 113 19%
Unknown 61 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 138 24%
Neuroscience 105 18%
Agricultural and Biological Sciences 80 14%
Medicine and Dentistry 53 9%
Immunology and Microbiology 28 5%
Other 85 15%
Unknown 96 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 2352. 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 02 August 2020.
All research outputs
#1,116
of 15,629,452 outputs
Outputs from Neuron
#1
of 8,012 outputs
Outputs of similar age
#24
of 277,256 outputs
Outputs of similar age from Neuron
#1
of 119 outputs
Altmetric has tracked 15,629,452 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,012 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.2. This one has done particularly well, scoring higher than 99% 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 277,256 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 99% of its contemporaries.
We're also able to compare this research output to 119 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 99% of its contemporaries.