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Deep Learning Assessment of Small Renal Masses at Contrast-enhanced Multiphase CT.

Overview of attention for article published in Radiology, May 2024
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
2 X users

Readers on

mendeley
4 Mendeley
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Title
Deep Learning Assessment of Small Renal Masses at Contrast-enhanced Multiphase CT.
Published in
Radiology, May 2024
DOI 10.1148/radiol.232178
Pubmed ID
Authors

Chenchen Dai, Ying Xiong, Pingyi Zhu, Linpeng Yao, Jinglai Lin, Jiaxi Yao, Xue Zhang, Risheng Huang, Run Wang, Jun Hou, Kang Wang, Zhang Shi, Feng Chen, Jianming Guo, Mengsu Zeng, Jianjun Zhou, Shuo Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 25%
Unspecified 1 25%
Professor 1 25%
Researcher 1 25%
Readers by discipline Count As %
Unspecified 1 25%
Biochemistry, Genetics and Molecular Biology 1 25%
Computer Science 1 25%
Unknown 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 May 2024.
All research outputs
#1,675,826
of 25,930,027 outputs
Outputs from Radiology
#1,080
of 10,400 outputs
Outputs of similar age
#14,078
of 207,670 outputs
Outputs of similar age from Radiology
#14
of 54 outputs
Altmetric has tracked 25,930,027 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,400 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.3. This one has done well, scoring higher than 89% 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 207,670 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.