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Decreased brain venous vasculature visibility on susceptibility-weighted imaging venography in patients with multiple sclerosis is related to chronic cerebrospinal venous insufficiency

Overview of attention for article published in BMC Neurology, October 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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2 X users
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8 Facebook pages

Citations

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50 Dimensions

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52 Mendeley
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Title
Decreased brain venous vasculature visibility on susceptibility-weighted imaging venography in patients with multiple sclerosis is related to chronic cerebrospinal venous insufficiency
Published in
BMC Neurology, October 2011
DOI 10.1186/1471-2377-11-128
Pubmed ID
Authors

Robert Zivadinov, Guy U Poloni, Karen Marr, Claudiu V Schirda, Christopher R Magnano, Ellen Carl, Niels Bergsland, David Hojnacki, Cheryl Kennedy, Clive B Beggs, Michael G Dwyer, Bianca Weinstock-Guttman

Abstract

The potential pathogenesis between the presence and severity of chronic cerebrospinal venous insufficiency (CCSVI) and its relation to clinical and imaging outcomes in brain parenchyma of multiple sclerosis (MS) patients has not yet been elucidated. The aim of the study was to investigate the relationship between CCSVI, and altered brain parenchyma venous vasculature visibility (VVV) on susceptibility-weighted imaging (SWI) in patients with MS and in sex- and age-matched healthy controls (HC).

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
United States 1 2%
Netherlands 1 2%
Canada 1 2%
Unknown 48 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 21%
Researcher 11 21%
Student > Doctoral Student 5 10%
Professor > Associate Professor 5 10%
Student > Master 5 10%
Other 12 23%
Unknown 3 6%
Readers by discipline Count As %
Medicine and Dentistry 31 60%
Neuroscience 8 15%
Engineering 5 10%
Computer Science 1 2%
Agricultural and Biological Sciences 1 2%
Other 1 2%
Unknown 5 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 29 October 2011.
All research outputs
#6,375,523
of 22,655,397 outputs
Outputs from BMC Neurology
#730
of 2,408 outputs
Outputs of similar age
#38,620
of 139,261 outputs
Outputs of similar age from BMC Neurology
#9
of 37 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 2,408 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 68% 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 139,261 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.