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StarAN: A star attention network utilizing inter-view and intra-view correlations for sparse-view cone-beam computed tomography reconstruction

Overview of attention for article published in Expert Systems with Applications, December 2024
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet

Readers on

mendeley
1 Mendeley
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Title
StarAN: A star attention network utilizing inter-view and intra-view correlations for sparse-view cone-beam computed tomography reconstruction
Published in
Expert Systems with Applications, December 2024
DOI 10.1016/j.eswa.2024.125099
Authors

Xin Jin, Yechen Zhu, Keqing Wu, Dingdu Hu, Xin Gao

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 100%
Readers by discipline Count As %
Unspecified 1 100%
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 27 August 2024.
All research outputs
#5,132,078
of 26,538,769 outputs
Outputs from Expert Systems with Applications
#279
of 4,458 outputs
Outputs of similar age
#417
of 3,535 outputs
Outputs of similar age from Expert Systems with Applications
#2
of 30 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 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,458 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done particularly well, scoring higher than 92% 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 3,535 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 30 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 93% of its contemporaries.