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Developing retinal biomarkers for the earliest stages of Alzheimer's disease: What we know, what we don't, and how to move forward

Overview of attention for article published in Alzheimer's & Dementia: the Journal of the Alzheimer's Association, January 2020
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)

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4 X users
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203 Mendeley
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Article details
Title
Developing retinal biomarkers for the earliest stages of Alzheimer's disease: What we know, what we don't, and how to move forward
Published in
Alzheimer's & Dementia: the Journal of the Alzheimer's Association, January 2020
DOI 10.1002/alz.12006
Pubmed ID
Authors
Abstract

The last decade has seen a substantial increase in research focused on the identification, development, and validation of diagnostic and prognostic retinal biomarkers for Alzheimer's disease (AD). Sensitive retinal biomarkers may be advantageous because they are cost and time efficient, non-invasive, and present a minimal degree of patient risk and a high degree of accessibility. Much of the work in this area thus far has focused on distinguishing between symptomatic AD and/or mild cognitive impairment (MCI) and cognitively normal older adults. Minimal work has been done on the detection of preclinical AD, the earliest stage of AD pathogenesis characterized by the accumulation of cerebral amyloid absent clinical symptoms of MCI or dementia. The following review examines retinal structural changes, proteinopathies, and vascular alterations that have been proposed as potential AD biomarkers, with a focus on studies examining the earliest stages of disease pathogenesis. In addition, we present recommendations for future research to move beyond the discovery phase and toward validation of AD risk biomarkers that could potentially be used as a first step in a multistep screening process for AD risk detection.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 203 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 203 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 30 15%
Student > Ph. D. Student 22 11%
Student > Bachelor 14 7%
Student > Master 14 7%
Student > Doctoral Student 8 4%
Other 23 11%
Unknown 92 45%
Readers by discipline
Readers by discipline Count As %
Neuroscience 27 13%
Medicine and Dentistry 26 13%
Computer Science 10 5%
Biochemistry, Genetics and Molecular Biology 7 3%
Engineering 6 3%
Other 27 13%
Unknown 100 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 20 January 2025.
All research outputs
#4,883,699
of 34,609,551 outputs
Outputs from Alzheimer's & Dementia: the Journal of the Alzheimer's Association
#3,053
of 7,153 outputs
Outputs of similar age
#86,178
of 522,317 outputs
Outputs of similar age from Alzheimer's & Dementia: the Journal of the Alzheimer's Association
#51
of 64 outputs
Altmetric has tracked 34,609,551 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,153 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.7. This one has gotten more attention than average, scoring higher than 56% 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 522,317 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 83% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.