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A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification

Overview of attention for article published in International Journal of Computer Assisted Radiology and Surgery, November 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
71 Mendeley
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Title
A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification
Published in
International Journal of Computer Assisted Radiology and Surgery, November 2019
DOI 10.1007/s11548-019-02097-8
Pubmed ID
Authors

Ying Ren, Min-Yu Tsai, Liyuan Chen, Jing Wang, Shulong Li, Yufei Liu, Xun Jia, Chenyang Shen

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 15%
Student > Ph. D. Student 8 11%
Student > Bachelor 6 8%
Researcher 5 7%
Unspecified 5 7%
Other 6 8%
Unknown 30 42%
Readers by discipline Count As %
Computer Science 13 18%
Engineering 9 13%
Medicine and Dentistry 7 10%
Unspecified 5 7%
Agricultural and Biological Sciences 1 1%
Other 5 7%
Unknown 31 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 November 2019.
All research outputs
#15,590,077
of 23,177,498 outputs
Outputs from International Journal of Computer Assisted Radiology and Surgery
#506
of 863 outputs
Outputs of similar age
#275,802
of 458,620 outputs
Outputs of similar age from International Journal of Computer Assisted Radiology and Surgery
#10
of 16 outputs
Altmetric has tracked 23,177,498 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 863 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 458,620 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.