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Nuclear Segmentation in Histopathological Images Using Two-Stage Stacked U-Nets With Attention Mechanism

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, October 2020
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Mentioned by

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1 X user

Citations

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40 Dimensions

Readers on

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45 Mendeley
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Title
Nuclear Segmentation in Histopathological Images Using Two-Stage Stacked U-Nets With Attention Mechanism
Published in
Frontiers in Bioengineering and Biotechnology, October 2020
DOI 10.3389/fbioe.2020.573866
Pubmed ID
Authors

Yan Kong, Georgi Z. Genchev, Xiaolei Wang, Hongyu Zhao, Hui Lu

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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 13%
Student > Ph. D. Student 4 9%
Student > Bachelor 3 7%
Researcher 3 7%
Other 1 2%
Other 4 9%
Unknown 24 53%
Readers by discipline Count As %
Computer Science 9 20%
Medicine and Dentistry 4 9%
Biochemistry, Genetics and Molecular Biology 2 4%
Neuroscience 2 4%
Engineering 2 4%
Other 0 0%
Unknown 26 58%
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 29 October 2020.
All research outputs
#20,662,373
of 23,257,423 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#4,743
of 6,923 outputs
Outputs of similar age
#359,218
of 420,456 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#219
of 319 outputs
Altmetric has tracked 23,257,423 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,923 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 1st percentile – i.e., 1% 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 420,456 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 319 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.