Connectome-Based Model Predicts Deep Brain Stimulation Outcome in Parkinson's Disease

Overview of attention for article published in Frontiers in Computational Neuroscience, October 2020

Altmetric Badge

About this Attention Score

Above-average Attention Score compared to outputs of the same age (53rd percentile)
Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter: 5 X users

Citations

dimensions_citation: 16 Dimensions

Readers on

mendeley: 54 Mendeley

Summary X Dimensions citations

So far, Altmetric has seen 5 X posts from 5 X users, with an upper bound of 89,637 followers.

RT @FrontNeurosci: New Research: Connectome-Based Model Predicts Deep Brain Stimulation Outcome in Parkinson's Disease: Subthalamic nucleus…

11 Nov 2020

Reply Repost Favourite

RT @FrontNeurosci: New Research: Connectome-Based Model Predicts Deep Brain Stimulation Outcome in Parkinson's Disease: Subthalamic nucleus…

11 Nov 2020

Reply Repost Favourite

New Research: Connectome-Based Model Predicts Deep Brain Stimulation Outcome in Parkinson's Disease: Subthalamic nucleus deep brain stimulation (STN-DBS) is an effective invasive treatment for advanced Parkinson's disease… https://t.co/fl6CdLTj08 #Computat

11 Nov 2020

Reply Repost Favourite

RT @andreashorn_: Nice Study by Shang et al. from @Tsinghua_Uni with N = 50 STN-DBS patients scanned w/ rs-fMRI before surgery to predict o…

05 Nov 2020

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 1 additional X posts.