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Medical Image Computing and Computer Assisted Intervention – MICCAI 2021

Overview of attention for book
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
Springer International Publishing
Attention for Chapter: Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-contrast CT Images
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

twitter
1 X user

Readers on

mendeley
28 Mendeley
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Chapter title
Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-contrast CT Images
Book title
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
Published in
arXiv, September 2021
DOI 10.1007/978-3-030-87234-2_41
Book ISBNs
978-3-03-087233-5, 978-3-03-087234-2
Authors

Liang, Kongming, Han, Kai, Li, Xiuli, Cheng, Xiaoqing, Li, Yiming, Wang, Yizhou, Yu, Yizhou, Kongming Liang, Kai Han, Xiuli Li, Xiaoqing Cheng, Yiming Li, Yizhou Wang, Yizhou Yu

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

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 14%
Researcher 2 7%
Student > Master 2 7%
Student > Bachelor 1 4%
Lecturer > Senior Lecturer 1 4%
Other 2 7%
Unknown 16 57%
Readers by discipline Count As %
Computer Science 7 25%
Medicine and Dentistry 2 7%
Agricultural and Biological Sciences 1 4%
Neuroscience 1 4%
Materials Science 1 4%
Other 1 4%
Unknown 15 54%
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 12 October 2021.
All research outputs
#15,670,023
of 23,283,373 outputs
Outputs from arXiv
#381,887
of 959,009 outputs
Outputs of similar age
#247,880
of 432,626 outputs
Outputs of similar age from arXiv
#14,734
of 35,261 outputs
Altmetric has tracked 23,283,373 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 959,009 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 53% 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 432,626 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35,261 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.