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Predicting Motor Outcome of Subthalamic Nucleus Deep Brain Stimulation for Parkinson’s Disease Using Quantitative Susceptibility Mapping and Radiomics: A Pilot Study

Overview of attention for article published in Frontiers in Neuroscience, September 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

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10 X users

Citations

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6 Dimensions

Readers on

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22 Mendeley
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Title
Predicting Motor Outcome of Subthalamic Nucleus Deep Brain Stimulation for Parkinson’s Disease Using Quantitative Susceptibility Mapping and Radiomics: A Pilot Study
Published in
Frontiers in Neuroscience, September 2021
DOI 10.3389/fnins.2021.731109
Pubmed ID
Authors

Yu Liu, Bin Xiao, Chencheng Zhang, Junchen Li, Yijie Lai, Feng Shi, Dinggang Shen, Linbin Wang, Bomin Sun, Yan Li, Zhijia Jin, Hongjiang Wei, Ewart Mark Haacke, Haiyan Zhou, Qian Wang, Dianyou Li, Naying He, Fuhua Yan

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 14%
Student > Doctoral Student 2 9%
Student > Ph. D. Student 2 9%
Student > Master 1 5%
Student > Bachelor 1 5%
Other 0 0%
Unknown 13 59%
Readers by discipline Count As %
Medicine and Dentistry 3 14%
Computer Science 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Neuroscience 1 5%
Design 1 5%
Other 0 0%
Unknown 15 68%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 26 September 2021.
All research outputs
#7,442,892
of 25,622,179 outputs
Outputs from Frontiers in Neuroscience
#4,837
of 11,639 outputs
Outputs of similar age
#141,862
of 434,851 outputs
Outputs of similar age from Frontiers in Neuroscience
#130
of 398 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 11,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 58% of its peers.
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 434,851 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 398 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.