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Lung Texture in Serial Thoracic Computed Tomography Scans: Correlation of Radiomics-based Features With Radiation Therapy Dose and Radiation Pneumonitis Development

Overview of attention for article published in International Journal of Radiation Oncology, Biology, Physics, February 2015
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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12 X users

Citations

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205 Dimensions

Readers on

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227 Mendeley
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Title
Lung Texture in Serial Thoracic Computed Tomography Scans: Correlation of Radiomics-based Features With Radiation Therapy Dose and Radiation Pneumonitis Development
Published in
International Journal of Radiation Oncology, Biology, Physics, February 2015
DOI 10.1016/j.ijrobp.2014.11.030
Pubmed ID
Authors

Alexandra Cunliffe, Samuel G. Armato, Richard Castillo, Ngoc Pham, Thomas Guerrero, Hania A. Al-Hallaq

Abstract

To assess the relationship between radiation dose and change in a set of mathematical intensity- and texture-based features and to determine the ability of texture analysis to identify patients who develop radiation pneumonitis (RP).

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 227 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Greece 1 <1%
Unknown 225 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 22%
Student > Ph. D. Student 48 21%
Student > Master 26 11%
Other 21 9%
Student > Postgraduate 16 7%
Other 35 15%
Unknown 32 14%
Readers by discipline Count As %
Medicine and Dentistry 77 34%
Physics and Astronomy 31 14%
Computer Science 20 9%
Engineering 17 7%
Agricultural and Biological Sciences 7 3%
Other 11 5%
Unknown 64 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 22 June 2019.
All research outputs
#5,146,347
of 25,394,764 outputs
Outputs from International Journal of Radiation Oncology, Biology, Physics
#2,204
of 11,082 outputs
Outputs of similar age
#68,405
of 361,374 outputs
Outputs of similar age from International Journal of Radiation Oncology, Biology, Physics
#18
of 90 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,082 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 80% 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 361,374 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 81% of its contemporaries.
We're also able to compare this research output to 90 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.