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An automated method for analysis of microcirculation videos for accurate assessment of tissue perfusion

Overview of attention for article published in BMC Medical Imaging, December 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#21 of 614)
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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1 X user
patent
4 patents

Citations

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25 Dimensions

Readers on

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47 Mendeley
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Title
An automated method for analysis of microcirculation videos for accurate assessment of tissue perfusion
Published in
BMC Medical Imaging, December 2012
DOI 10.1186/1471-2342-12-37
Pubmed ID
Authors

Sumeyra U Demir, Roya Hakimzadeh, Rosalyn Hobson Hargraves, Kevin R Ward, Eric V Myer, Kayvan Najarian

Abstract

Imaging of the human microcirculation in real-time has the potential to detect injuries and illnesses that disturb the microcirculation at earlier stages and may improve the efficacy of resuscitation. Despite advanced imaging techniques to monitor the microcirculation, there are currently no tools for the near real-time analysis of the videos produced by these imaging systems. An automated system tool that can extract microvasculature information and monitor changes in tissue perfusion quantitatively might be invaluable as a diagnostic and therapeutic endpoint for resuscitation.

X Demographics

X Demographics

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 47 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%
India 1 2%
Canada 1 2%
Unknown 43 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 15%
Researcher 7 15%
Other 5 11%
Student > Master 5 11%
Student > Bachelor 4 9%
Other 14 30%
Unknown 5 11%
Readers by discipline Count As %
Medicine and Dentistry 20 43%
Engineering 4 9%
Biochemistry, Genetics and Molecular Biology 3 6%
Computer Science 3 6%
Neuroscience 3 6%
Other 8 17%
Unknown 6 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 09 September 2022.
All research outputs
#3,204,644
of 23,292,144 outputs
Outputs from BMC Medical Imaging
#21
of 614 outputs
Outputs of similar age
#33,680
of 282,961 outputs
Outputs of similar age from BMC Medical Imaging
#1
of 11 outputs
Altmetric has tracked 23,292,144 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 614 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done particularly well, scoring higher than 95% 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 282,961 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 87% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.