Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensis

Overview of attention for article published in Malaria Journal, May 2019

Altmetric Badge

About this Attention Score

In the top 5% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (93rd percentile)
High Attention Score compared to outputs of the same age and source (97th percentile)

So far, Altmetric has seen 72 X posts from 50 X users, with an upper bound of 175,675 followers.

Paper in @MalariaJournal describing use of mid-infrared spectroscopy & machine learning to ID the source of blood meals taken by #malaria vectors Work from @IBAHCM @Baldini_Fra @drheatherferg @SimonAB and colleagues! #Mosquito

RT @Datascience__: Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector…

RT @Datascience__: Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector…

RT @Datascience__: Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector…

This page shows the most recent X posts that mention this research output.

Click here to find out how to access more activity, including 68 additional X posts.