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Accuracy and Reliability Assessment of CT and MR Perfusion Analysis Software Using a Digital Phantom

Overview of attention for article published in Radiology, December 2012
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
1 X user
patent
3 patents
guideline
1 clinical guideline source

Readers on

mendeley
132 Mendeley
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Article details
Title
Accuracy and Reliability Assessment of CT and MR Perfusion Analysis Software Using a Digital Phantom
Published in
Radiology, December 2012
DOI 10.1148/radiol.12112618
Pubmed ID
Authors
Abstract

To design a digital phantom data set for computed tomography (CT) perfusion and perfusion-weighted imaging on the basis of the widely accepted tracer kinetic theory in which the true values of cerebral blood flow (CBF), cerebral blood volume (CBV), mean transit time (MTT), and tracer arrival delay are known and to evaluate the accuracy and reliability of postprocessing programs using this digital phantom.

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Timeline Attention over time Attention Score history
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 4 3%
Japan 1 <1%
United Kingdom 1 <1%
France 1 <1%
Switzerland 1 <1%
Belgium 1 <1%
Unknown 123 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 33 25%
Researcher 24 18%
Other 9 7%
Student > Master 8 6%
Professor > Associate Professor 7 5%
Other 24 18%
Unknown 27 20%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 38 29%
Engineering 21 16%
Computer Science 10 8%
Physics and Astronomy 10 8%
Neuroscience 6 5%
Other 13 10%
Unknown 34 26%
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 18 August 2026.
All research outputs
#4,871,470
of 34,226,562 outputs
Outputs from Radiology
#3,808
of 14,788 outputs
Outputs of similar age
#42,075
of 344,424 outputs
Outputs of similar age from Radiology
#23
of 118 outputs
Altmetric has tracked 34,226,562 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,788 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.5. This one has gotten more attention than average, scoring higher than 73% 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 344,424 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 118 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.