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SORL1 variants across Alzheimer’s disease European American cohorts

Overview of attention for article published in European Journal of Human Genetics, September 2016
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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2 news outlets
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1 X user

Citations

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19 Dimensions

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mendeley
43 Mendeley
Title
SORL1 variants across Alzheimer’s disease European American cohorts
Published in
European Journal of Human Genetics, September 2016
DOI 10.1038/ejhg.2016.122
Pubmed ID
Authors

Maria Victoria Fernández, Kathleen Black, David Carrell, Ben Saef, John Budde, Yuetiva Deming, Bill Howells, Jorge L Del-Aguila, Shengmei Ma, Catherine Bi, Joanne Norton, Rachel Chasse, John Morris, Alison Goate, Carlos Cruchaga

Abstract

The accumulation of the toxic Aβ peptide in Alzheimer's disease (AD) largely relies upon an efficient recycling of amyloid precursor protein (APP). Recent genetic association studies have described rare variants in SORL1 with putative pathogenic consequences in the recycling of APP. In this work, we examine the presence of rare coding variants in SORL1 in three different European American cohorts: early-onset, late-onset AD (LOAD) and familial LOAD.European Journal of Human Genetics advance online publication, 21 September 2016; doi:10.1038/ejhg.2016.122.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 16%
Student > Bachelor 7 16%
Student > Ph. D. Student 4 9%
Student > Master 4 9%
Professor > Associate Professor 3 7%
Other 7 16%
Unknown 11 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 19%
Neuroscience 8 19%
Biochemistry, Genetics and Molecular Biology 6 14%
Medicine and Dentistry 5 12%
Mathematics 1 2%
Other 4 9%
Unknown 11 26%
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 23 September 2016.
All research outputs
#1,799,295
of 22,889,074 outputs
Outputs from European Journal of Human Genetics
#352
of 3,443 outputs
Outputs of similar age
#33,530
of 320,659 outputs
Outputs of similar age from European Journal of Human Genetics
#4
of 39 outputs
Altmetric has tracked 22,889,074 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 3,443 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has done well, scoring higher than 89% 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 320,659 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 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.