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Advanced Neuroimaging of Cerebral Small Vessel Disease

Overview of attention for article published in Current Treatment Options in Cardiovascular Medicine, June 2017
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Title
Advanced Neuroimaging of Cerebral Small Vessel Disease
Published in
Current Treatment Options in Cardiovascular Medicine, June 2017
DOI 10.1007/s11936-017-0555-1
Pubmed ID
Authors

Gordon W. Blair, Maria Valdez Hernandez, Michael J. Thrippleton, Fergus N. Doubal, Joanna M. Wardlaw

Abstract

Cerebral small vessel disease (SVD) is characterised by damage to deep grey and white matter structures of the brain and is responsible for a diverse range of clinical problems that include stroke and dementia. In this review, we describe advances in neuroimaging published since January 2015, mainly with magnetic resonance imaging (MRI), that, in general, are improving quantification, observation and investigation of SVD focussing on three areas: quantifying the total SVD burden, imaging brain microstructural integrity and imaging vascular malfunction. Methods to capture 'whole brain SVD burden' across the spectrum of SVD imaging changes will be useful for patient stratification in clinical trials, an approach that we are already testing. More sophisticated imaging measures of SVD microstructural damage are allowing the disease to be studied at earlier stages, will help identify specific factors that are important in development of overt SVD imaging features and in understanding why specific clinical consequences may occur. Imaging vascular function will help establish the precise blood vessel and blood flow alterations at early disease stages and, together with microstructural integrity measures, may provide important surrogate endpoints in clinical trials testing new interventions. Better knowledge of SVD pathophysiology will help identify new treatment targets, improve patient stratification and may in future increase efficiency of clinical trials through smaller sample sizes or shorter follow-up periods. However, most of these methods are not yet sufficiently mature to use with confidence in clinical trials, although rapid advances in the field suggest that reliable quantification of SVD lesion burden, tissue microstructural integrity and vascular dysfunction are imminent.

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The data shown below were collected from the profile of 1 X user 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 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 137 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 20%
Researcher 24 18%
Student > Ph. D. Student 20 15%
Student > Bachelor 12 9%
Student > Doctoral Student 9 7%
Other 18 13%
Unknown 27 20%
Readers by discipline Count As %
Medicine and Dentistry 35 26%
Neuroscience 33 24%
Engineering 12 9%
Biochemistry, Genetics and Molecular Biology 5 4%
Psychology 4 3%
Other 12 9%
Unknown 36 26%
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 26 June 2017.
All research outputs
#15,465,171
of 22,981,247 outputs
Outputs from Current Treatment Options in Cardiovascular Medicine
#287
of 416 outputs
Outputs of similar age
#199,138
of 317,090 outputs
Outputs of similar age from Current Treatment Options in Cardiovascular Medicine
#10
of 18 outputs
Altmetric has tracked 22,981,247 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 416 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 317,090 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.