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A Multi-Scale Computational Model of Levodopa-Induced Toxicity in Parkinson's Disease

Overview of attention for article published in Frontiers in Neuroscience, April 2022
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3 X users

Citations

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15 Mendeley
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Title
A Multi-Scale Computational Model of Levodopa-Induced Toxicity in Parkinson's Disease
Published in
Frontiers in Neuroscience, April 2022
DOI 10.3389/fnins.2022.797127
Pubmed ID
Authors

Vignayanandam Ravindernath-Jayashree Muddapu, Karthik Vijayakumar, Keerthiga Ramakrishnan, V. Srinivasa Chakravarthy

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 13%
Student > Master 2 13%
Lecturer 1 7%
Librarian 1 7%
Student > Bachelor 1 7%
Other 0 0%
Unknown 8 53%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 13%
Biochemistry, Genetics and Molecular Biology 2 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Social Sciences 1 7%
Medicine and Dentistry 1 7%
Other 0 0%
Unknown 8 53%
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 12 May 2022.
All research outputs
#19,961,193
of 25,392,582 outputs
Outputs from Frontiers in Neuroscience
#8,723
of 11,543 outputs
Outputs of similar age
#316,364
of 445,718 outputs
Outputs of similar age from Frontiers in Neuroscience
#300
of 449 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 17th percentile – i.e., 17% 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 445,718 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 449 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.