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The down syndrome biomarker initiative (DSBI) pilot: proof of concept for deep phenotyping of Alzheimer’s disease biomarkers in down syndrome

Overview of attention for article published in Frontiers in Behavioral Neuroscience, September 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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8 news outlets
blogs
2 blogs
twitter
15 X users

Citations

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71 Dimensions

Readers on

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106 Mendeley
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Title
The down syndrome biomarker initiative (DSBI) pilot: proof of concept for deep phenotyping of Alzheimer’s disease biomarkers in down syndrome
Published in
Frontiers in Behavioral Neuroscience, September 2015
DOI 10.3389/fnbeh.2015.00239
Pubmed ID
Authors

Michael S. Rafii, Hannah Wishnek, James B. Brewer, Michael C. Donohue, Seth Ness, William C. Mobley, Paul S. Aisen, Robert A. Rissman

Abstract

To gain further knowledge on the preclinical phase of Alzheimer's disease (AD), we sought to characterize cognitive performance, neuroimaging and plasma-based AD biomarkers in a cohort of non-demented adults with down syndrome (DS). The goal of the down syndrome biomarker Initiative (DSBI) pilot is to test feasibility of this approach for future multicenter studies. We enrolled 12 non-demented participants with DS between the ages of 30-60 years old. Participants underwent extensive cognitive testing, volumetric MRI, amyloid positron emission tomography (PET; 18F-florbetapir), fluorodeoxyglucose (FDG) PET (18F-fluorodeoxyglucose) and retinal amyloid imaging. In addition, plasma beta-amyloid (Aβ) species were measured and Apolipoprotein E (ApoE) genotyping was performed. Results from our multimodal analysis suggest greater hippocampal atrophy with amyloid load. Additionally, we identified an inverse relationship between amyloid load and regional glucose metabolism. Cognitive and functional measures did not correlate with amyloid load in DS but did correlate with regional FDG PET measures. Biomarkers of AD can be readily studied in adults with DS as in other preclinical AD populations. Importantly, all subjects in this feasibility study were able to complete all test procedures. The data indicate that a large, multicenter longitudinal study is feasible to better understand the trajectories of AD biomarkers in this enriched population. This trial is registered with ClinicalTrials.gov, number NCT02141971.

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X Demographics

The data shown below were collected from the profiles of 15 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Unknown 104 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 21%
Researcher 16 15%
Student > Master 11 10%
Student > Doctoral Student 8 8%
Other 8 8%
Other 16 15%
Unknown 25 24%
Readers by discipline Count As %
Psychology 17 16%
Neuroscience 16 15%
Medicine and Dentistry 14 13%
Agricultural and Biological Sciences 7 7%
Biochemistry, Genetics and Molecular Biology 6 6%
Other 15 14%
Unknown 31 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 81. 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 22 December 2016.
All research outputs
#447,043
of 22,824,164 outputs
Outputs from Frontiers in Behavioral Neuroscience
#74
of 3,168 outputs
Outputs of similar age
#6,539
of 268,596 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#2
of 83 outputs
Altmetric has tracked 22,824,164 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,168 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done particularly well, scoring higher than 97% 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 268,596 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 97% of its contemporaries.
We're also able to compare this research output to 83 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 97% of its contemporaries.