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ID-Seg: an infant deep learning-based segmentation framework to improve limbic structure estimates

Overview of attention for article published in Brain Informatics, May 2022
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About this Attention Score

  • Among the highest-scoring outputs from this source (#50 of 111)
  • Above-average Attention Score compared to outputs of the same age (58th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
9 Mendeley
Title
ID-Seg: an infant deep learning-based segmentation framework to improve limbic structure estimates
Published in
Brain Informatics, May 2022
DOI 10.1186/s40708-022-00161-9
Pubmed ID
Authors

Yun Wang, Fateme Sadat Haghpanah, Xuzhe Zhang, Katie Santamaria, Gabriela Koch da Costa Aguiar Alves, Elizabeth Bruno, Natalie Aw, Alexis Maddocks, Cristiane S. Duarte, Catherine Monk, Andrew Laine, Jonathan Posner

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 22%
Student > Bachelor 1 11%
Student > Master 1 11%
Unknown 5 56%
Readers by discipline Count As %
Computer Science 2 22%
Psychology 1 11%
Medicine and Dentistry 1 11%
Unknown 5 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 June 2022.
All research outputs
#13,946,378
of 24,319,828 outputs
Outputs from Brain Informatics
#50
of 111 outputs
Outputs of similar age
#175,463
of 429,468 outputs
Outputs of similar age from Brain Informatics
#2
of 3 outputs
Altmetric has tracked 24,319,828 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 111 research outputs from this source. They receive a mean Attention Score of 4.9. 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 429,468 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.