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Characterizing the Expression Patterns of Parkinson’s Disease Associated Genes

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet
twitter
5 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Characterizing the Expression Patterns of Parkinson’s Disease Associated Genes
Published in
Frontiers in Neuroscience, April 2021
DOI 10.3389/fnins.2021.629156
Pubmed ID
Authors

Bin Li, Guihu Zhao, Kuokuo Li, Zheng Wang, Zhenghuan Fang, Xiaomeng Wang, Tengfei Luo, Yi Zhang, Yijing Wang, Qian Chen, Yuanfeng Huang, Lijie Dong, Jifeng Guo, Beisha Tang, Jinchen Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 31%
Researcher 2 13%
Student > Bachelor 1 6%
Student > Doctoral Student 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 5 31%
Readers by discipline Count As %
Neuroscience 4 25%
Biochemistry, Genetics and Molecular Biology 3 19%
Medicine and Dentistry 1 6%
Agricultural and Biological Sciences 1 6%
Chemistry 1 6%
Other 1 6%
Unknown 5 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 23 April 2021.
All research outputs
#2,830,227
of 25,387,668 outputs
Outputs from Frontiers in Neuroscience
#1,850
of 11,543 outputs
Outputs of similar age
#73,636
of 453,673 outputs
Outputs of similar age from Frontiers in Neuroscience
#71
of 384 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has done well, scoring higher than 83% 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 453,673 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 384 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.