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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 7,279)
  • 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
213 news outlets
blogs
25 blogs
twitter
798 tweeters
facebook
30 Facebook pages
wikipedia
1 Wikipedia page
reddit
3 Redditors
video
3 video uploaders

Citations

dimensions_citation
65 Dimensions

Readers on

mendeley
374 Mendeley
citeulike
3 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 798 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 374 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 374 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 89 24%
Student > Ph. D. Student 77 21%
Student > Bachelor 46 12%
Student > Master 34 9%
Other 28 7%
Other 100 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 82 22%
Neuroscience 63 17%
Agricultural and Biological Sciences 61 16%
Unspecified 48 13%
Medicine and Dentistry 46 12%
Other 74 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 2335. 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 15 March 2019.
All research outputs
#440
of 12,669,114 outputs
Outputs from Neuron
#1
of 7,279 outputs
Outputs of similar age
#24
of 273,531 outputs
Outputs of similar age from Neuron
#1
of 121 outputs
Altmetric has tracked 12,669,114 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 7,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.1. 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 273,531 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 121 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.