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Autophagy and Alzheimer’s Disease: From Molecular Mechanisms to Therapeutic Implications

Overview of attention for article published in Frontiers in Aging Neuroscience, January 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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68 X users
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1 patent
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3 YouTube creators

Citations

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308 Dimensions

Readers on

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429 Mendeley
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Title
Autophagy and Alzheimer’s Disease: From Molecular Mechanisms to Therapeutic Implications
Published in
Frontiers in Aging Neuroscience, January 2018
DOI 10.3389/fnagi.2018.00004
Pubmed ID
Authors

Sahab Uddin, Anna Stachowiak, Abdullah Al Mamun, Nikolay T. Tzvetkov, Shinya Takeda, Atanas G. Atanasov, Leandro B. Bergantin, Mohamed M. Abdel-Daim, Adrian M. Stankiewicz

Abstract

Alzheimer's disease (AD) is the most common cause of progressive dementia in the elderly. It is characterized by a progressive and irreversible loss of cognitive abilities and formation of senile plaques, composed mainly of amyloid β (Aβ), and neurofibrillary tangles (NFTs), composed of tau protein, in the hippocampus and cortex of afflicted humans. In brains of AD patients the metabolism of Aβ is dysregulated, which leads to the accumulation and aggregation of Aβ. Metabolism of Aβ and tau proteins is crucially influenced by autophagy. Autophagy is a lysosome-dependent, homeostatic process, in which organelles and proteins are degraded and recycled into energy. Thus, dysfunction of autophagy is suggested to lead to the accretion of noxious proteins in the AD brain. In the present review, we describe the process of autophagy and its importance in AD. Additionally, we discuss mechanisms and genes linking autophagy and AD, i.e., the mTOR pathway, neuroinflammation, endocannabinoid system,ATG7, BCL2, BECN1, CDK5, CLU, CTSD, FOXO1, GFAP, ITPR1, MAPT, PSEN1, SNCA, UBQLN1, andUCHL1. We also present pharmacological agents acting via modulation of autophagy that may show promise in AD therapy. This review updates our knowledge on autophagy mechanisms proposing novel therapeutic targets for the treatment of AD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 68 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 429 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 429 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 73 17%
Student > Master 53 12%
Researcher 45 10%
Student > Bachelor 40 9%
Student > Doctoral Student 16 4%
Other 69 16%
Unknown 133 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 69 16%
Neuroscience 68 16%
Pharmacology, Toxicology and Pharmaceutical Science 36 8%
Agricultural and Biological Sciences 26 6%
Medicine and Dentistry 26 6%
Other 56 13%
Unknown 148 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 November 2022.
All research outputs
#1,058,047
of 24,943,708 outputs
Outputs from Frontiers in Aging Neuroscience
#239
of 5,376 outputs
Outputs of similar age
#25,310
of 451,666 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#8
of 97 outputs
Altmetric has tracked 24,943,708 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,376 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done particularly well, scoring higher than 95% 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 451,666 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 94% of its contemporaries.
We're also able to compare this research output to 97 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 92% of its contemporaries.