↓ Skip to main content

Alzheimer’s Disease: Analyzing the Missing Heritability

Overview of attention for article published in PLOS ONE, November 2013
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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
twitter
7 X users
patent
2 patents

Citations

dimensions_citation
295 Dimensions

Readers on

mendeley
338 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Alzheimer’s Disease: Analyzing the Missing Heritability
Published in
PLOS ONE, November 2013
DOI 10.1371/journal.pone.0079771
Pubmed ID
Authors

Perry G. Ridge, Shubhabrata Mukherjee, Paul K. Crane, John S. K. Kauwe, Alzheimer’s Disease Genetics Consortium

Abstract

Alzheimer's disease (AD) is a complex disorder influenced by environmental and genetic factors. Recent work has identified 11 AD markers in 10 loci. We used Genome-wide Complex Trait Analysis to analyze >2 million SNPs for 10,922 individuals from the Alzheimer's Disease Genetics Consortium to assess the phenotypic variance explained first by known late-onset AD loci, and then by all SNPs in the Alzheimer's Disease Genetics Consortium dataset. In all, 33% of total phenotypic variance is explained by all common SNPs. APOE alone explained 6% and other known markers 2%, meaning more than 25% of phenotypic variance remains unexplained by known markers, but is tagged by common SNPs included on genotyping arrays or imputed with HapMap genotypes. Novel AD markers that explain large amounts of phenotypic variance are likely to be rare and unidentifiable using genome-wide association studies. Based on our findings and the current direction of human genetics research, we suggest specific study designs for future studies to identify the remaining heritability of Alzheimer's disease.

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 338 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Colombia 1 <1%
Brazil 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
Sweden 1 <1%
Unknown 330 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 61 18%
Student > Ph. D. Student 56 17%
Student > Bachelor 40 12%
Student > Master 36 11%
Other 21 6%
Other 49 14%
Unknown 75 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 16%
Biochemistry, Genetics and Molecular Biology 46 14%
Neuroscience 40 12%
Medicine and Dentistry 38 11%
Psychology 15 4%
Other 52 15%
Unknown 94 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 August 2023.
All research outputs
#1,848,947
of 22,729,647 outputs
Outputs from PLOS ONE
#23,829
of 194,027 outputs
Outputs of similar age
#18,599
of 215,614 outputs
Outputs of similar age from PLOS ONE
#663
of 5,222 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 194,027 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. 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 215,614 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 91% of its contemporaries.
We're also able to compare this research output to 5,222 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.