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Dissecting the role of non-coding RNAs in the accumulation of amyloid and tau neuropathologies in Alzheimer’s disease

Overview of attention for article published in Molecular Neurodegeneration, July 2017
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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 (90th percentile)

Mentioned by

news
1 news outlet
twitter
13 X users
patent
1 patent
facebook
3 Facebook pages
googleplus
1 Google+ user
video
1 YouTube creator

Citations

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62 Dimensions

Readers on

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120 Mendeley
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Title
Dissecting the role of non-coding RNAs in the accumulation of amyloid and tau neuropathologies in Alzheimer’s disease
Published in
Molecular Neurodegeneration, July 2017
DOI 10.1186/s13024-017-0191-y
Pubmed ID
Authors

Ellis Patrick, Sathyapriya Rajagopal, Hon-Kit Andus Wong, Cristin McCabe, Jishu Xu, Anna Tang, Selina H. Imboywa, Julie A. Schneider, Nathalie Pochet, Anna M. Krichevsky, Lori B. Chibnik, David A. Bennett, Philip L. De Jager

Abstract

Given multiple studies of brain microRNA (miRNA) in relation to Alzheimer's disease (AD) with few consistent results and the heterogeneity of this disease, the objective of this study was to explore their mechanism by evaluating their relation to different elements of Alzheimer's disease pathology, confounding factors and mRNA expression data from the same subjects in the same brain region. We report analyses of expression profiling of miRNA (n = 700 subjects) and lincRNA (n = 540 subjects) from the dorsolateral prefrontal cortex of individuals participating in two longitudinal cohort studies of aging. We confirm the association of two well-established miRNA (miR-132, miR-129) with pathologic AD in our dataset and then further characterize this association in terms of its component neuritic β-amyloid plaques and neurofibrillary tangle pathologies. Additionally, we identify one new miRNA (miR-99) and four lincRNA that are associated with these traits. Many other previously reported associations of microRNA with AD are associated with the confounders quantified in our longitudinal cohort. Finally, by performing analyses integrating both miRNA and RNA sequence data from the same individuals (525 samples), we characterize the impact of AD associated miRNA on human brain expression: we show that the effects of miR-132 and miR-129-5b converge on certain genes such as EP300 and find a role for miR200 and its target genes in AD using an integrated miRNA/mRNA analysis. Overall, miRNAs play a modest role in human AD, but we observe robust evidence that a small number of miRNAs are responsible for specific alterations in the cortical transcriptome that are associated with AD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 120 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 20%
Student > Ph. D. Student 17 14%
Student > Master 14 12%
Student > Bachelor 14 12%
Other 6 5%
Other 19 16%
Unknown 26 22%
Readers by discipline Count As %
Neuroscience 23 19%
Biochemistry, Genetics and Molecular Biology 23 19%
Agricultural and Biological Sciences 16 13%
Medicine and Dentistry 13 11%
Nursing and Health Professions 4 3%
Other 14 12%
Unknown 27 23%
Attention Score in Context

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 01 October 2020.
All research outputs
#1,489,559
of 23,379,207 outputs
Outputs from Molecular Neurodegeneration
#110
of 867 outputs
Outputs of similar age
#30,988
of 315,109 outputs
Outputs of similar age from Molecular Neurodegeneration
#3
of 21 outputs
Altmetric has tracked 23,379,207 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 867 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done well, scoring higher than 87% 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 315,109 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 21 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 90% of its contemporaries.