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Systemic and Disease-Specific Risk Factors in Vascular Dementia: Diagnosis and Prevention

Overview of attention for article published in Frontiers in Aging Neuroscience, October 2017
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Title
Systemic and Disease-Specific Risk Factors in Vascular Dementia: Diagnosis and Prevention
Published in
Frontiers in Aging Neuroscience, October 2017
DOI 10.3389/fnagi.2017.00333
Pubmed ID
Authors

Efraim Jaul, Oded Meiron

Abstract

In order to prevent the onset of vascular dementia (VaD) in aging individuals, it is critical to detect clinically relevant vascular and systemic pathophysiological changes to signal the onset of its preceding prodromal stages. Identifying behavioral and neurobiological markers that are highly sensitive to VaD classification vs. other dementias is likely to assist in developing novel preventive treatment strategies that could delay the onset of disruptive psychomotor symptoms, decrease hospitalizations, and increase the quality of life in clinically-high-risk aging individuals. In light of empirical diagnostic and clinical findings associated with VaD pathophysiology, the current investigation will suggest a few clinically-validated biomarker measures of prodromal VaD cognitive impairments that are correlated with vascular symptomology, and VaD endophenotypes in non-demented aging people. In prodromal VaD individuals, distinguishing VaD from other dementias (e.g., Alzheimer's disease) could facilitate specific early preventive interventions that significantly delay more severe cognitive deterioration or indirectly suppress the onset of dementia with vascular etiology. Importantly, the authors conclude that primary prevention strategies should examine aging individuals by employing comprehensive geriatric assessment approach, taking into account their medical history, and longitudinally noting their vascular, systemic, cognitive, behavioral, and clinical functional status. Secondary prevention strategies may include monitoring chronic medication as well as promoting programs that facilitate social interaction and every-day activities.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 27%
Student > Master 5 8%
Other 5 8%
Student > Ph. D. Student 5 8%
Student > Doctoral Student 4 7%
Other 8 13%
Unknown 17 28%
Readers by discipline Count As %
Medicine and Dentistry 16 27%
Psychology 8 13%
Nursing and Health Professions 7 12%
Neuroscience 4 7%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 4 7%
Unknown 20 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 October 2017.
All research outputs
#20,450,513
of 23,006,268 outputs
Outputs from Frontiers in Aging Neuroscience
#4,340
of 4,843 outputs
Outputs of similar age
#284,781
of 326,544 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#85
of 102 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,843 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.