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Structural MRI markers of brain aging early after ischemic stroke

Overview of attention for article published in Neurology, June 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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45 tweeters
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5 Facebook pages
googleplus
1 Google+ user

Citations

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16 Dimensions

Readers on

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35 Mendeley
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Title
Structural MRI markers of brain aging early after ischemic stroke
Published in
Neurology, June 2017
DOI 10.1212/wnl.0000000000004086
Pubmed ID
Authors

Emilio Werden, Toby Cumming, Qi Li, Laura Bird, Michele Veldsman, Heath R. Pardoe, Graeme Jackson, Geoffrey A. Donnan, Amy Brodtmann

Abstract

To examine associations between ischemic stroke, vascular risk factors, and MRI markers of brain aging. Eighty-one patients (mean age 67.5 ± 13.1 years, 31 left-sided, 61 men) with confirmed first-ever (n = 66) or recurrent (n = 15) ischemic stroke underwent 3T MRI scanning within 6 weeks of symptom onset (mean 26 ± 9 days). Age-matched controls (n = 40) completed identical testing. Multivariate regression analyses examined associations between group membership and MRI markers of brain aging (cortical thickness, total brain volume, white matter hyperintensity [WMH] volume, hippocampal volume), normalized against intracranial volume, and the effects of vascular risk factors on these relationships. First-ever stroke was associated with smaller hippocampal volume (p = 0.025) and greater WMH volume (p = 0.004) relative to controls. Recurrent stroke was in turn associated with smaller hippocampal volume relative to both first-ever stroke (p = 0.017) and controls (p = 0.001). These associations remained significant after adjustment for age, sex, education, and, in stroke patients, infarct volume. Total brain volume was not significantly smaller in first-ever stroke patients than in controls (p = 0.056), but the association became significant after further adjustment for atrial fibrillation (p = 0.036). Cortical thickness and brain volumes did not differ as a function of stroke type, infarct volume, or etiology. Brain structure is likely to be compromised before ischemic stroke by vascular risk factors. Smaller hippocampal and total brain volumes and increased WMH load represent proxies for underlying vascular brain injury.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 26%
Student > Master 7 20%
Student > Ph. D. Student 4 11%
Student > Doctoral Student 2 6%
Student > Postgraduate 2 6%
Other 6 17%
Unknown 5 14%
Readers by discipline Count As %
Neuroscience 10 29%
Medicine and Dentistry 8 23%
Psychology 5 14%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Nursing and Health Professions 1 3%
Other 1 3%
Unknown 8 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 April 2019.
All research outputs
#592,402
of 13,663,123 outputs
Outputs from Neurology
#1,142
of 14,086 outputs
Outputs of similar age
#20,653
of 266,720 outputs
Outputs of similar age from Neurology
#47
of 299 outputs
Altmetric has tracked 13,663,123 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,086 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done particularly well, scoring higher than 91% 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 266,720 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 92% of its contemporaries.
We're also able to compare this research output to 299 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.