Machine learning analysis of microbial flow cytometry data from nanoparticles, antibiotics and carbon sources perturbed anaerobic microbiomes

Overview of attention for article published in Journal of Biological Engineering, September 2018

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In the top 25% of all research outputs scored by Altmetric
Among the highest-scoring outputs from this source (#39 of 299)
High Attention Score compared to outputs of the same age (84th percentile)
High Attention Score compared to outputs of the same age and source (85th percentile)

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blogs: 1 blog
twitter: 5 X users

patent: 1 patent

Citations

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So far, Altmetric has seen 9 X posts from 5 X users, with an upper bound of 177,952 followers.

RT @Microbiome_Art: Machine learning analysis of microbial flow cytometry data from nanoparticle... - Dhoble AS et al. - https://t.co/sokCq…

18 Sep 2018

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RT @custom_ms: Machine learning analysis of microbial flow cytometry data from nanoparticles, antibiotics and carbon sources perturbed anae…

18 Sep 2018

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RT @metagenomics: [PubMed] Machine learning analysis of microbial flow cytometry data from nanoparticles, antibiotics and carbon sources pe…

18 Sep 2018

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[PubMed] Machine learning analysis of microbial flow cytometry data from nanoparticles, antibiotics and carbon sources perturbed anaerobic microbiomes. https://t.co/TVtHeNnTSQ

18 Sep 2018

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