Bayesian inference of transmission chains using timing of symptoms, pathogen genomes and contact data

Overview of attention for article published in PLoS Computational Biology, March 2019

Altmetric Badge

About this Attention Score

In the top 25% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (85th percentile)
Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter: 28 X users

Readers on

mendeley: 162 Mendeley

Summary X

So far, Altmetric has seen 32 X posts from 28 X users, with an upper bound of 126,349 followers.

@MasGooder @justin_hart I did read this paper (which took me a bit because epidemiology is not my area of expertise) and it seems good, but I am not clear on what you want me to find. https://t.co/bnwtB2s4Xq

28 May 2021

Reply Repost Favourite

@paulvieira @mattgurney Kinda. It's due to the number of contacts per person per day. Toronto would be up there like NYC and Wuhan. Assuming the probability of transmission is constant, you need to control the number of chances. https://t.co/32Ne5nK5d2

31 Mar 2020

Reply Repost Favourite

RT @fcampbell_: Check out our new paper on inferring transmission chains from contact data, pathogen genomes and dates of symptom onset (it…

05 Jul 2019

Reply Repost Favourite

New from #wellcometrust https://t.co/qYU8zK03ZV Bayesian inference of transmission chains using timing of symptoms, pathogen genomes and contact data

12 May 2019

Reply Repost Favourite

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

Click here to find out how to access more activity, including 28 additional X posts.