↓ Skip to main content

Dove Medical Press

Mutations, associated with early-onset Alzheimer’s disease, discovered in Asian countries

Overview of attention for article published in Clinical Interventions in Aging, October 2016
Altmetric Badge

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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
2 news outlets
twitter
2 X users
googleplus
1 Google+ user

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
71 Mendeley
Title
Mutations, associated with early-onset Alzheimer’s disease, discovered in Asian countries
Published in
Clinical Interventions in Aging, October 2016
DOI 10.2147/cia.s116218
Pubmed ID
Authors

Eva Bagyinszky, Young Chul Youn, Seong Soo A An, SangYun Kim

Abstract

Alzheimer's disease (AD), the most common form of senile dementia, is a genetically complex disorder. In most Asian countries, the population and the number of AD patients are growing rapidly, and the genetics of AD has been extensively studied, except in Japan. However, recent studies have been started to investigate the genes and mutations associated with AD in Korea, the People's Republic of China, and Malaysia. This review describes all of the known mutations in three early-onset AD (EOAD) causative genes (APP, PSEN1, and PSEN2) that were discovered in Asian countries. Most of the EOAD-associated mutations have been detected in PSEN1, and several novel PSEN1 mutations were recently identified in patients from various parts of the world, including Asia. Until 2014, no PSEN2 mutations were found in Asian patients; however, emerging studies from Korea and the People's Republic of China discovered probably pathogenic PSEN2 mutations. Since several novel mutations were discovered in these three genes, we also discuss the predictions on their pathogenic nature. This review briefly summarizes genome-wide association studies of late-onset AD and the genes that might be associated with AD in Asian countries. Standard sequencing is a widely used method, but it has limitations in terms of time, cost, and efficacy. Next-generation sequencing strategies could facilitate genetic analysis and association studies. Genetic testing is important for the accurate diagnosis and for understanding disease-associated pathways and might also improve disease therapy and prevention.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 17%
Researcher 9 13%
Student > Master 9 13%
Student > Ph. D. Student 8 11%
Other 4 6%
Other 10 14%
Unknown 19 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 13%
Neuroscience 8 11%
Medicine and Dentistry 7 10%
Agricultural and Biological Sciences 5 7%
Psychology 5 7%
Other 13 18%
Unknown 24 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 17 May 2023.
All research outputs
#2,017,921
of 25,373,627 outputs
Outputs from Clinical Interventions in Aging
#222
of 1,968 outputs
Outputs of similar age
#34,824
of 332,569 outputs
Outputs of similar age from Clinical Interventions in Aging
#8
of 53 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,968 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done well, scoring higher than 88% 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 332,569 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.