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Whole Exome Sequencing Revealed Variants That Predict Pulmonary Artery Involvement in Patients with Takayasu Arteritis

Overview of attention for article published in Journal of Inflammation Research, August 2022
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2 X users

Citations

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Readers on

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3 Mendeley
Title
Whole Exome Sequencing Revealed Variants That Predict Pulmonary Artery Involvement in Patients with Takayasu Arteritis
Published in
Journal of Inflammation Research, August 2022
DOI 10.2147/jir.s377402
Pubmed ID
Authors

Lingyu Liu, Jing Chen, Jing Li, Yunjiao Yang, Xiaofeng Zeng, Xinping Tian

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 33%
Unknown 2 67%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 33%
Unknown 2 67%
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 September 2022.
All research outputs
#18,815,535
of 23,317,888 outputs
Outputs from Journal of Inflammation Research
#517
of 829 outputs
Outputs of similar age
#301,044
of 433,909 outputs
Outputs of similar age from Journal of Inflammation Research
#52
of 87 outputs
Altmetric has tracked 23,317,888 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 829 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 23rd percentile – i.e., 23% 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 433,909 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.