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A Multi-Compartment Model of Glioma Response to Fractionated Radiation Therapy Parameterized via Time-Resolved Microscopy Data

Overview of attention for article published in Frontiers in oncology, February 2022
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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)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
5 X users

Readers on

mendeley
6 Mendeley
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Title
A Multi-Compartment Model of Glioma Response to Fractionated Radiation Therapy Parameterized via Time-Resolved Microscopy Data
Published in
Frontiers in oncology, February 2022
DOI 10.3389/fonc.2022.811415
Pubmed ID
Authors

Junyan Liu, David A. Hormuth, Jianchen Yang, Thomas E. Yankeelov

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 17%
Researcher 1 17%
Student > Doctoral Student 1 17%
Student > Master 1 17%
Unknown 2 33%
Readers by discipline Count As %
Engineering 2 33%
Physics and Astronomy 1 17%
Biochemistry, Genetics and Molecular Biology 1 17%
Unknown 2 33%
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 28 February 2022.
All research outputs
#3,780,900
of 26,538,769 outputs
Outputs from Frontiers in oncology
#1,219
of 23,241 outputs
Outputs of similar age
#90,562
of 536,044 outputs
Outputs of similar age from Frontiers in oncology
#69
of 1,453 outputs
Altmetric has tracked 26,538,769 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 23,241 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 94% 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 536,044 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 1,453 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 95% of its contemporaries.