Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool

Overview of attention for article published in BMC Medical Imaging, August 2015

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In the top 25% of all research outputs scored by Altmetric
One of the highest-scoring outputs from this source (#6 of 668)
High Attention Score compared to outputs of the same age (91st percentile)
High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news: 1 news outlet
twitter: 4 X users

patent: 4 patents
wikipedia: 5 Wikipedia pages

Citations

dimensions_citation: 1650 Dimensions

Readers on

mendeley: 1543 Mendeley

Summary News X Patents Wikipedia Dimensions citations

So far, Altmetric has seen 4 X posts from 4 X users, with an upper bound of 10,705 followers.

RT @annika_re: Check out some related literature: https://t.co/PIXjpk0zwS https://t.co/WYjwYMs7xv https://t.co/PAoDc7bNQH

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Check out some related literature: https://t.co/PIXjpk0zwS https://t.co/WYjwYMs7xv https://t.co/PAoDc7bNQH

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#Metrics for evaluating #3D #medical #image #segmentation: analysis, selection, & tool. Taha & Hanbury https://t.co/gfeO4tJB7f

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Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool http://t.co/DUVBtteTCF

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