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BFNet: a full-encoder skip connect way for medical image segmentation

Overview of attention for article published in Frontiers in Physiology, August 2024
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1 X user

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1 Mendeley
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Title
BFNet: a full-encoder skip connect way for medical image segmentation
Published in
Frontiers in Physiology, August 2024
DOI 10.3389/fphys.2024.1412985
Pubmed ID
Authors

Siyu Zhan, Quan Yuan, Xin Lei, Rui Huang, Lu Guo, Ke Liu, Rong Chen

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.
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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 %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Engineering 1 100%
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 02 August 2024.
All research outputs
#21,512,058
of 26,406,115 outputs
Outputs from Frontiers in Physiology
#9,486
of 15,854 outputs
Outputs of similar age
#85,779
of 135,199 outputs
Outputs of similar age from Frontiers in Physiology
#40
of 76 outputs
Altmetric has tracked 26,406,115 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 15,854 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. 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 135,199 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.