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Blood metabolite markers of preclinical Alzheimer's disease in two longitudinally followed cohorts of older individuals

Overview of attention for article published in Alzheimer's & Dementia: the Journal of the Alzheimer's Association, July 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 (87th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
5 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
56 Dimensions

Readers on

mendeley
88 Mendeley
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Title
Blood metabolite markers of preclinical Alzheimer's disease in two longitudinally followed cohorts of older individuals
Published in
Alzheimer's & Dementia: the Journal of the Alzheimer's Association, July 2016
DOI 10.1016/j.jalz.2015.12.008
Pubmed ID
Authors

Ramon Casanova, Sudhir Varma, Brittany Simpson, Min Kim, Yang An, Santiago Saldana, Carlos Riveros, Pablo Moscato, Michael Griswold, Denise Sonntag, Judith Wahrheit, Kristaps Klavins, Palmi V. Jonsson, Gudny Eiriksdottir, Thor Aspelund, Lenore J. Launer, Vilmundur Gudnason, Cristina Legido Quigley, Madhav Thambisetty

Abstract

Recently, quantitative metabolomics identified a panel of 10 plasma lipids that were highly predictive of conversion to Alzheimer's disease (AD) in cognitively normal older individuals (n = 28, area under the curve [AUC] = 0.92, sensitivity/specificity of 90%/90%). We failed to replicate these findings in a substantially larger study from two independent cohorts-the Baltimore Longitudinal Study of Aging ([BLSA], n = 93, AUC = 0.642, sensitivity/specificity of 51.6%/65.7%) and the Age, Gene/Environment Susceptibility-Reykjavik Study ([AGES-RS], n = 100, AUC = 0.395, sensitivity/specificity of 47.0%/36.0%). In analyses applying machine learning methods to all 187 metabolite concentrations assayed, we find a modest signal in the BLSA with distinct metabolites associated with the preclinical and symptomatic stages of AD, whereas the same methods gave poor classification accuracies in the AGES-RS samples. We believe that ours is the largest blood biomarker study of preclinical AD to date. These findings underscore the importance of large-scale independent validation of index findings from biomarker studies with relatively small sample sizes.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
Spain 1 1%
Iceland 1 1%
Qatar 1 1%
Unknown 83 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 18%
Researcher 16 18%
Unspecified 13 15%
Student > Ph. D. Student 13 15%
Other 9 10%
Other 21 24%
Readers by discipline Count As %
Unspecified 19 22%
Biochemistry, Genetics and Molecular Biology 13 15%
Medicine and Dentistry 13 15%
Agricultural and Biological Sciences 11 13%
Neuroscience 10 11%
Other 22 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 30 January 2016.
All research outputs
#1,418,498
of 13,496,506 outputs
Outputs from Alzheimer's & Dementia: the Journal of the Alzheimer's Association
#570
of 1,662 outputs
Outputs of similar age
#41,380
of 335,892 outputs
Outputs of similar age from Alzheimer's & Dementia: the Journal of the Alzheimer's Association
#26
of 40 outputs
Altmetric has tracked 13,496,506 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,662 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.5. This one has gotten more attention than average, scoring higher than 65% 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 335,892 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 87% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.