Machine-learning identifies Parkinson's disease patients based on resting-state between-network functional connectivity

Overview of attention for article published in British Journal of Radiology, May 2019

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In the top 25% of all research outputs scored by Altmetric
Among the highest-scoring outputs from this source (#26 of 1,437)
High Attention Score compared to outputs of the same age (84th percentile)
High Attention Score compared to outputs of the same age and source (90th percentile)

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twitter: 7 tweeters

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So far, Altmetric has seen 7 tweets from 7 users, with an upper bound of 1,558 followers.

Latest article w/ @INM7_ISN "Machine-learning identifies Parkinson's disease patients based on resting-state between-network functional connectivity" https://t.co/kOWpaJ4FXe https://t.co/OxcNDdg9l3

23 Apr 2019

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Machine-learning identifies parkinson's disease patients based on resting-state between-network functional connectivity. - PubMed - NCBI https://t.co/qgfQBtElAt

23 Apr 2019

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RT @Ingentium_PD: Machine-learning identifies #ParkinsonsDisease #parkinsons #PD patients based on resting-state between-network functional…

19 Apr 2019

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Machine-learning identifies #ParkinsonsDisease #parkinsons #PD patients based on resting-state between-network functional connectivity. https://t.co/zmMvlJMyyA

19 Apr 2019

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