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Alzheimer’s Disease: From Genetic Variants to the Distinct Pathological Mechanisms

Overview of attention for article published in Frontiers in Molecular Neuroscience, October 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 (95th percentile)

Mentioned by

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2 news outlets
twitter
7 X users
wikipedia
1 Wikipedia page

Citations

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32 Dimensions

Readers on

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135 Mendeley
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Title
Alzheimer’s Disease: From Genetic Variants to the Distinct Pathological Mechanisms
Published in
Frontiers in Molecular Neuroscience, October 2017
DOI 10.3389/fnmol.2017.00319
Pubmed ID
Authors

Qiying Sun, Nina Xie, Beisha Tang, Rena Li, Yong Shen

Abstract

Being the most common cause of dementia, AD is a polygenic and neurodegenerative disease. Complex and multiple factors have been shown to be involved in its pathogenesis, of which the genetics play an indispensable role. It is widely accepted that discovery of potential genes related to the pathogenesis of AD would be of great help for the understanding of neurodegeneration and thus further promote molecular diagnosis in clinic settings. Generally, AD could be clarified into two types according to the onset age, the early-onset AD (EOAD) and the late-onset AD (LOAD). Progresses made by genetic studies on both EOAD and LOAD are believed to be essential not only for the revolution of conventional ideas but also for the revelation of new pathological mechanisms underlying AD pathogenesis. Currently, albeit the genetics of LOAD is much less well-understood compared to EOAD due to its complicated and multifactorial essence, Genome-wide association studies (GWASs) and next generation sequencing (NGS) approaches have identified dozens of novel genes that may provide insight mechanism of LOAD. In this review, we analyze functions of the genes and summarize the distinct pathological mechanisms of how these genes would be involved in the pathogenesis of AD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 135 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 28 21%
Student > Master 26 19%
Student > Ph. D. Student 18 13%
Researcher 13 10%
Student > Doctoral Student 7 5%
Other 18 13%
Unknown 25 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 34 25%
Neuroscience 21 16%
Agricultural and Biological Sciences 12 9%
Medicine and Dentistry 11 8%
Pharmacology, Toxicology and Pharmaceutical Science 8 6%
Other 19 14%
Unknown 30 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 08 December 2022.
All research outputs
#1,352,728
of 23,299,593 outputs
Outputs from Frontiers in Molecular Neuroscience
#95
of 2,966 outputs
Outputs of similar age
#29,363
of 324,143 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#6
of 122 outputs
Altmetric has tracked 23,299,593 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,966 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 96% 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 324,143 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 122 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 95% of its contemporaries.