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CT Segmentation of Dinosaur Fossils by Deep Learning

Overview of attention for article published in Frontiers in Earth Science, January 2022
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#35 of 6,392)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
10 news outlets
blogs
3 blogs
twitter
72 X users
video
2 YouTube creators

Readers on

mendeley
24 Mendeley
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Title
CT Segmentation of Dinosaur Fossils by Deep Learning
Published in
Frontiers in Earth Science, January 2022
DOI 10.3389/feart.2021.805271
Authors

Congyu Yu, Fangbo Qin, Ying Li, Zichuan Qin, Mark Norell

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 72 X users 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 21%
Student > Master 4 17%
Student > Ph. D. Student 1 4%
Student > Doctoral Student 1 4%
Other 1 4%
Other 0 0%
Unknown 12 50%
Readers by discipline Count As %
Earth and Planetary Sciences 7 29%
Arts and Humanities 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Environmental Science 1 4%
Physics and Astronomy 1 4%
Other 1 4%
Unknown 12 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 137. 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 10 June 2024.
All research outputs
#324,847
of 26,608,834 outputs
Outputs from Frontiers in Earth Science
#35
of 6,392 outputs
Outputs of similar age
#9,231
of 535,114 outputs
Outputs of similar age from Frontiers in Earth Science
#2
of 490 outputs
Altmetric has tracked 26,608,834 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,392 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 99% 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 535,114 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 490 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.