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3D-BoxSup: Positive-Unlabeled Learning of Brain Tumor Segmentation Networks From 3D Bounding Boxes

Overview of attention for article published in Frontiers in Neuroscience, April 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
3 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
13 Mendeley
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Title
3D-BoxSup: Positive-Unlabeled Learning of Brain Tumor Segmentation Networks From 3D Bounding Boxes
Published in
Frontiers in Neuroscience, April 2020
DOI 10.3389/fnins.2020.00350
Pubmed ID
Authors

Yanwu Xu, Mingming Gong, Junxiang Chen, Ziye Chen, Kayhan Batmanghelich

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

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 23%
Student > Bachelor 2 15%
Professor > Associate Professor 2 15%
Researcher 1 8%
Lecturer 1 8%
Other 0 0%
Unknown 4 31%
Readers by discipline Count As %
Computer Science 4 31%
Engineering 2 15%
Physics and Astronomy 1 8%
Nursing and Health Professions 1 8%
Unknown 5 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 18 May 2020.
All research outputs
#3,355,750
of 25,563,770 outputs
Outputs from Frontiers in Neuroscience
#2,535
of 11,619 outputs
Outputs of similar age
#83,370
of 408,779 outputs
Outputs of similar age from Frontiers in Neuroscience
#190
of 366 outputs
Altmetric has tracked 25,563,770 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,619 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 78% 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 408,779 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 366 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.