↓ Skip to main content

ATP1A3 mutation in rapid-onset dystonia parkinsonism: New data and genotype-phenotype correlation analysis

Overview of attention for article published in Frontiers in Aging Neuroscience, August 2022
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
12 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
ATP1A3 mutation in rapid-onset dystonia parkinsonism: New data and genotype-phenotype correlation analysis
Published in
Frontiers in Aging Neuroscience, August 2022
DOI 10.3389/fnagi.2022.933893
Pubmed ID
Authors

Lihua Yu, Guoping Peng, Yuan Yuan, Min Tang, Ping Liu, Xiaoyan Liu, Jie Ni, Yi Li, Caihong Ji, Ziqi Fan, Wenli Zhu, Benyan Luo, Qing Ke

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 17%
Professor > Associate Professor 2 17%
Student > Bachelor 1 8%
Student > Doctoral Student 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 5 42%
Readers by discipline Count As %
Neuroscience 3 25%
Medicine and Dentistry 2 17%
Agricultural and Biological Sciences 1 8%
Arts and Humanities 1 8%
Unknown 5 42%
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 19 September 2022.
All research outputs
#16,481,368
of 26,456,908 outputs
Outputs from Frontiers in Aging Neuroscience
#3,828
of 5,711 outputs
Outputs of similar age
#213,809
of 438,841 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#244
of 378 outputs
Altmetric has tracked 26,456,908 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,711 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 31st percentile – i.e., 31% 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 438,841 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 378 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.