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Magnetic Resonance Imaging to Detect Early Molecular and Cellular Changes in Alzheimer's Disease

Overview of attention for article published in Frontiers in Aging Neuroscience, June 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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

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1 news outlet
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14 X users

Citations

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32 Dimensions

Readers on

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98 Mendeley
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Title
Magnetic Resonance Imaging to Detect Early Molecular and Cellular Changes in Alzheimer's Disease
Published in
Frontiers in Aging Neuroscience, June 2016
DOI 10.3389/fnagi.2016.00139
Pubmed ID
Authors

Michael J. Knight, Bryony McCann, Risto A. Kauppinen, Elizabeth J. Coulthard

Abstract

Recent pharmaceutical trials have demonstrated that slowing or reversing pathology in Alzheimer's disease is likely to be possible only in the earliest stages of disease, perhaps even before significant symptoms develop. Pathology in Alzheimer's disease accumulates for well over a decade before symptoms are detected giving a large potential window of opportunity for intervention. It is therefore important that imaging techniques detect subtle changes in brain tissue before significant macroscopic brain atrophy. Current diagnostic techniques often do not permit early diagnosis or are too expensive for routine clinical use. Magnetic Resonance Imaging (MRI) is the most versatile, affordable, and powerful imaging modality currently available, being able to deliver detailed analyses of anatomy, tissue volumes, and tissue state. In this mini-review, we consider how MRI might detect patients at risk of future dementia in the early stages of pathological change when symptoms are mild. We consider the contributions made by the various modalities of MRI (structural, diffusion, perfusion, relaxometry) in identifying not just atrophy (a late-stage AD symptom) but more subtle changes reflective of early dementia pathology. The sensitivity of MRI not just to gross anatomy but to the underlying "health" at the cellular (and even molecular) scales, makes it very well suited to this task.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Bulgaria 1 1%
Germany 1 1%
Unknown 95 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 20%
Student > Master 14 14%
Researcher 14 14%
Student > Bachelor 8 8%
Student > Postgraduate 5 5%
Other 21 21%
Unknown 16 16%
Readers by discipline Count As %
Medicine and Dentistry 17 17%
Neuroscience 16 16%
Agricultural and Biological Sciences 9 9%
Psychology 8 8%
Engineering 8 8%
Other 18 18%
Unknown 22 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 13 December 2016.
All research outputs
#1,907,299
of 25,153,613 outputs
Outputs from Frontiers in Aging Neuroscience
#539
of 5,435 outputs
Outputs of similar age
#31,823
of 334,261 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#5
of 91 outputs
Altmetric has tracked 25,153,613 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 5,435 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done particularly well, scoring higher than 90% 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 334,261 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 90% of its contemporaries.
We're also able to compare this research output to 91 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 95% of its contemporaries.