MATISSE: a method for improved single cell segmentation in imaging mass cytometry

Overview of attention for article published in BMC Biology, May 2021

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In the top 25% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (86th percentile)
Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter: 21 tweeters

Citations

dimensions_citation: 17 Dimensions

Readers on

mendeley: 42 Mendeley

Summary Twitter Dimensions citations

So far, Altmetric has seen 31 tweets from 21 users, with an upper bound of 141,944 followers.

RT @IenI_UMCUtrecht: Investigators at @UMCU_CMM have developed a method that allows improved segmentation of densely packed cellular areas.…

02 Jun 2021

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RT @IenI_UMCUtrecht: Investigators at @UMCU_CMM have developed a method that allows improved segmentation of densely packed cellular areas.…

02 Jun 2021

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Investigators at @UMCU_CMM have developed a method that allows improved segmentation of densely packed cellular areas. This opens possibilities to better analyze tissue microenvironment in epithelial tissue pathologies, such as in #autoimmunity and #cancer

02 Jun 2021

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RT @masscytometry: Meet MATISSE MATISSE: a method for improved single cell segmentation in imaging mass cytometry Developed in the labs @…

18 May 2021

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