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Association of LAG3 genetic variation with an increased risk of PD in Chinese female population

Overview of attention for article published in Journal of Neuroinflammation, December 2019
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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 (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

news
1 news outlet
twitter
1 tweeter

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
19 Mendeley
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Title
Association of LAG3 genetic variation with an increased risk of PD in Chinese female population
Published in
Journal of Neuroinflammation, December 2019
DOI 10.1186/s12974-019-1654-6
Pubmed ID
Authors

Wenyuan Guo, Miaomiao Zhou, Jiewen Qiu, Yuwan Lin, Xiang Chen, Shuxuan Huang, Mingshu Mo, Hanqun Liu, Guoyou Peng, Xiaoqin Zhu, Pingyi Xu

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 16%
Student > Bachelor 2 11%
Student > Master 2 11%
Student > Doctoral Student 1 5%
Researcher 1 5%
Other 1 5%
Unknown 9 47%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 3 16%
Neuroscience 2 11%
Chemistry 2 11%
Immunology and Microbiology 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 1 5%
Unknown 9 47%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 20 December 2019.
All research outputs
#2,212,456
of 16,470,846 outputs
Outputs from Journal of Neuroinflammation
#441
of 2,052 outputs
Outputs of similar age
#74,772
of 381,592 outputs
Outputs of similar age from Journal of Neuroinflammation
#50
of 232 outputs
Altmetric has tracked 16,470,846 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,052 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done well, scoring higher than 75% 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 381,592 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 80% of its contemporaries.
We're also able to compare this research output to 232 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.