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Multi-atlas segmentation with joint label fusion and corrective learning—an open source implementation

Overview of attention for article published in Frontiers in Neuroinformatics, January 2013
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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)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
195 Dimensions

Readers on

mendeley
141 Mendeley
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Title
Multi-atlas segmentation with joint label fusion and corrective learning—an open source implementation
Published in
Frontiers in Neuroinformatics, January 2013
DOI 10.3389/fninf.2013.00027
Pubmed ID
Authors

Hongzhi Wang, Paul A. Yushkevich

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
United States 2 1%
Japan 1 <1%
France 1 <1%
Unknown 135 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 24%
Researcher 27 19%
Student > Master 19 13%
Student > Doctoral Student 10 7%
Student > Bachelor 7 5%
Other 24 17%
Unknown 20 14%
Readers by discipline Count As %
Engineering 24 17%
Neuroscience 21 15%
Computer Science 20 14%
Medicine and Dentistry 13 9%
Psychology 9 6%
Other 15 11%
Unknown 39 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 24 January 2023.
All research outputs
#4,906,861
of 23,578,918 outputs
Outputs from Frontiers in Neuroinformatics
#258
of 773 outputs
Outputs of similar age
#51,796
of 284,671 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#14
of 36 outputs
Altmetric has tracked 23,578,918 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 773 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has gotten more attention than average, scoring higher than 66% 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 284,671 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 36 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 61% of its contemporaries.