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Predicting the Post-therapy Severity Level (UPDRS-III) of Patients With Parkinson's Disease After Drug Therapy by Using the Dynamic Connectivity Efficiency of fMRI

Overview of attention for article published in Frontiers in Neurology, July 2019
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2 X users

Citations

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Readers on

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Title
Predicting the Post-therapy Severity Level (UPDRS-III) of Patients With Parkinson's Disease After Drug Therapy by Using the Dynamic Connectivity Efficiency of fMRI
Published in
Frontiers in Neurology, July 2019
DOI 10.3389/fneur.2019.00668
Pubmed ID
Authors

Xuesong Li, Yuhui Xiong, Simin Liu, Rongsong Zhou, Zhangxuan Hu, Yan Tong, Le He, Zhendong Niu, Yu Ma, Hua Guo

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 18%
Student > Ph. D. Student 2 12%
Researcher 2 12%
Student > Master 1 6%
Other 1 6%
Other 0 0%
Unknown 8 47%
Readers by discipline Count As %
Neuroscience 5 29%
Psychology 2 12%
Computer Science 1 6%
Medicine and Dentistry 1 6%
Unknown 8 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 July 2019.
All research outputs
#18,024,172
of 23,151,189 outputs
Outputs from Frontiers in Neurology
#7,223
of 12,065 outputs
Outputs of similar age
#243,413
of 348,191 outputs
Outputs of similar age from Frontiers in Neurology
#233
of 302 outputs
Altmetric has tracked 23,151,189 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,065 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 348,191 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 302 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.