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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: You only Learn Once: Universal Anatomical Landmark Detection
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
45 Mendeley
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Chapter title
You only Learn Once: Universal Anatomical Landmark Detection
Book title
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
Published in
arXiv, September 2021
DOI 10.1007/978-3-030-87240-3_9
Book ISBNs
978-3-03-087239-7, 978-3-03-087240-3
Authors

Heqin Zhu, Qingsong Yao, Li Xiao, S. Kevin Zhou, QingsongYao, S. kevin Zhou, Zhu, Heqin, Yao, Qingsong, Xiao, Li, Zhou, S. Kevin

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 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 > Ph. D. Student 9 20%
Other 3 7%
Student > Bachelor 3 7%
Researcher 3 7%
Student > Master 3 7%
Other 5 11%
Unknown 19 42%
Readers by discipline Count As %
Computer Science 9 20%
Engineering 9 20%
Medicine and Dentistry 2 4%
Agricultural and Biological Sciences 1 2%
Chemistry 1 2%
Other 3 7%
Unknown 20 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 March 2022.
All research outputs
#15,812,651
of 24,093,053 outputs
Outputs from arXiv
#342,099
of 1,018,817 outputs
Outputs of similar age
#235,392
of 420,874 outputs
Outputs of similar age from arXiv
#11,904
of 34,558 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,018,817 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 61% 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 420,874 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34,558 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 59% of its contemporaries.