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Fine-Mapping of the PLCL2 Gene Identifies Candidate Variants Associated With Ischaemic Stroke Risk in Metabolic Syndrome Patients

Overview of attention for article published in Frontiers in Neurology, January 2022
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1 X user

Citations

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1 Dimensions

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7 Mendeley
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Title
Fine-Mapping of the PLCL2 Gene Identifies Candidate Variants Associated With Ischaemic Stroke Risk in Metabolic Syndrome Patients
Published in
Frontiers in Neurology, January 2022
DOI 10.3389/fneur.2021.743169
Pubmed ID
Authors

Xiaoya Huang, Qiang Ye, Yanlei Zhang, Yanyan Chen, Jia Li, Jun Sun, Zusen Ye

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Researcher 2 29%
Lecturer 1 14%
Unknown 2 29%
Readers by discipline Count As %
Medicine and Dentistry 3 43%
Biochemistry, Genetics and Molecular Biology 2 29%
Environmental Science 1 14%
Unknown 1 14%
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 20 January 2022.
All research outputs
#20,400,885
of 22,950,943 outputs
Outputs from Frontiers in Neurology
#8,862
of 11,843 outputs
Outputs of similar age
#410,428
of 499,443 outputs
Outputs of similar age from Frontiers in Neurology
#442
of 744 outputs
Altmetric has tracked 22,950,943 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,843 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 1st percentile – i.e., 1% 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 499,443 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 744 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.