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Hypoperfusion Intensity Ratio Predicts Infarct Progression and Functional Outcome in the DEFUSE 2 Cohort

Overview of attention for article published in Stroke, March 2014
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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 (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
facebook
1 Facebook page

Citations

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193 Dimensions

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107 Mendeley
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Title
Hypoperfusion Intensity Ratio Predicts Infarct Progression and Functional Outcome in the DEFUSE 2 Cohort
Published in
Stroke, March 2014
DOI 10.1161/strokeaha.113.003857
Pubmed ID
Authors

Jean Marc Olivot, Michael Mlynash, Manabu Inoue, Michael P. Marks, Hayley M. Wheeler, Stephanie Kemp, Matus Straka, Gregory Zaharchuk, Roland Bammer, Maarten G. Lansberg, Gregory W. Albers

Abstract

We evaluate associations between the severity of magnetic resonance perfusion-weighted imaging abnormalities, as assessed by the hypoperfusion intensity ratio (HIR), on infarct progression and functional outcome in the Diffusion and Perfusion Imaging Evaluation for Understanding Stroke Evolution Study 2 (DEFUSE 2).

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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
France 1 <1%
Germany 1 <1%
Unknown 104 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 17%
Researcher 18 17%
Other 11 10%
Student > Postgraduate 7 7%
Student > Master 7 7%
Other 21 20%
Unknown 25 23%
Readers by discipline Count As %
Medicine and Dentistry 37 35%
Neuroscience 13 12%
Nursing and Health Professions 4 4%
Agricultural and Biological Sciences 4 4%
Engineering 3 3%
Other 10 9%
Unknown 36 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 23 December 2019.
All research outputs
#4,217,067
of 25,374,647 outputs
Outputs from Stroke
#4,091
of 12,373 outputs
Outputs of similar age
#39,730
of 236,023 outputs
Outputs of similar age from Stroke
#40
of 186 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,373 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.6. This one has gotten more attention than average, scoring higher than 66% 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 236,023 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 186 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.