↓ Skip to main content

CT-Based Radiomics Models for Differentiation of Benign and Malignant Thyroid Nodules: A Multicenter Development-and-Validation.

Overview of attention for article published in American Journal of Roentgenology, May 2024
Altmetric Badge

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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet
twitter
6 X users
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
CT-Based Radiomics Models for Differentiation of Benign and Malignant Thyroid Nodules: A Multicenter Development-and-Validation.
Published in
American Journal of Roentgenology, May 2024
DOI 10.2214/ajr.24.31077
Pubmed ID
Authors

Shaofan Lin, Ming Gao, Zehong Yang, Ruihuan Yu, Zhuozhi Dai, Chuling Jiang, Yubin Yao, Tingting Xu, Jiali Chen, Kainan Huang, Daiying Lin

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 May 2024.
All research outputs
#2,905,447
of 25,882,826 outputs
Outputs from American Journal of Roentgenology
#954
of 7,796 outputs
Outputs of similar age
#20,235
of 181,037 outputs
Outputs of similar age from American Journal of Roentgenology
#9
of 45 outputs
Altmetric has tracked 25,882,826 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,796 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done well, scoring higher than 87% 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 181,037 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 89% of its contemporaries.
We're also able to compare this research output to 45 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.