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Deep Scatter Estimation (DSE): Accurate Real-Time Scatter Estimation for X-Ray CT Using a Deep Convolutional Neural Network

Overview of attention for article published in Journal of Nondestructive Evaluation, July 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 253)
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
1 X user
patent
10 patents

Readers on

mendeley
106 Mendeley
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Article details
Title
Deep Scatter Estimation (DSE): Accurate Real-Time Scatter Estimation for X-Ray CT Using a Deep Convolutional Neural Network
Published in
Journal of Nondestructive Evaluation, July 2018
DOI 10.1007/s10921-018-0507-z
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 23 22%
Researcher 18 17%
Student > Master 10 9%
Student > Bachelor 5 5%
Student > Doctoral Student 3 3%
Other 9 8%
Unknown 38 36%
Readers by discipline
Readers by discipline Count As %
Engineering 22 21%
Physics and Astronomy 18 17%
Medicine and Dentistry 12 11%
Computer Science 6 6%
Environmental Science 2 2%
Other 4 4%
Unknown 42 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 17 June 2025.
All research outputs
#2,244,991
of 25,263,619 outputs
Outputs from Journal of Nondestructive Evaluation
#5
of 253 outputs
Outputs of similar age
#44,274
of 332,700 outputs
Outputs of similar age from Journal of Nondestructive Evaluation
#1
of 19 outputs
Altmetric has tracked 25,263,619 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 253 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 98% 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 332,700 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 86% of its contemporaries.
We're also able to compare this research output to 19 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 99% of its contemporaries.