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Multivariable clinical-genetic model for predicting dyskinesia in early-onset Parkinson’s disease

Overview of attention for article published in Translational Neurodegeneration, July 2021
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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2 X users

Citations

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3 Dimensions

Readers on

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2 Mendeley
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Title
Multivariable clinical-genetic model for predicting dyskinesia in early-onset Parkinson’s disease
Published in
Translational Neurodegeneration, July 2021
DOI 10.1186/s40035-021-00251-4
Pubmed ID
Authors

Yong-Ping Chen, Ru-Wei Ou, Xiao-Jing Gu, Ling-Yu Zhang, Bei Cao, Yan-Bing Hou, Kun-Cheng Liu, Jun-Yu Lin, Qian-Qian Wei, Bi Zhao, Ying Wu, Hui-Fang Shang

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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 100%
Readers by discipline Count As %
Engineering 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 30 July 2021.
All research outputs
#16,734,944
of 25,392,582 outputs
Outputs from Translational Neurodegeneration
#327
of 384 outputs
Outputs of similar age
#252,173
of 441,109 outputs
Outputs of similar age from Translational Neurodegeneration
#13
of 15 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 384 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.7. This one is in the 13th percentile – i.e., 13% 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 441,109 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.