Uncertain imputation for time-series forecasting: Application to COVID-19 daily mortality prediction

Overview of attention for article published in PLOS Digital Health, October 2022

Altmetric Badge

About this Attention Score

Above-average Attention Score compared to outputs of the same age (56th percentile)

Mentioned by

twitter: 2 X users

Readers on

mendeley: 4 Mendeley

So far, Altmetric has seen 3 X posts from 2 X users, with an upper bound of 628 followers.

RT @EuroMov: 👏 #RayaneElimam PhD candidate at @EuroMov @IMTMinesAles @umontpellier 📈#PLOSDigitalHealth: Uncertain imputation for time-seri…

Congrats Rayane Elimam PhD candidate at EuroMov Digital Health in Motion IMT Mines Alès Université de Montpellier Public Library of Science (PLOS) #PLOSDigitalHealth: Uncertain imputation for time-series forecasting: Application t…https://t.co/CXJBmzYPQS…

👏 #RayaneElimam PhD candidate at @EuroMov @IMTMinesAles @umontpellier 📈#PLOSDigitalHealth: Uncertain imputation for time-series forecasting: Application to COVID-19 daily mortality ... #modeling #uncertainty #imputation #prediction https://t.co/J1X72…

This page shows the most recent X posts that mention this research output. Click here to find out how to access more activity.