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SW-UNet: a U-Net fusing sliding window transformer block with CNN for segmentation of lung nodules

Overview of attention for article published in Frontiers in Medicine, September 2023
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Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

mendeley
8 Mendeley
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Title
SW-UNet: a U-Net fusing sliding window transformer block with CNN for segmentation of lung nodules
Published in
Frontiers in Medicine, September 2023
DOI 10.3389/fmed.2023.1273441
Pubmed ID
Authors

Jiajun Ma, Gang Yuan, Chenhua Guo, Xiaoming Gang, Minting Zheng

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 25%
Student > Ph. D. Student 1 13%
Unknown 5 63%
Readers by discipline Count As %
Mathematics 1 13%
Computer Science 1 13%
Engineering 1 13%
Unknown 5 63%
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 30 September 2023.
All research outputs
#19,955,827
of 24,526,614 outputs
Outputs from Frontiers in Medicine
#4,716
of 6,696 outputs
Outputs of similar age
#118,181
of 171,449 outputs
Outputs of similar age from Frontiers in Medicine
#58
of 104 outputs
Altmetric has tracked 24,526,614 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,696 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 11th percentile – i.e., 11% 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 171,449 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.