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Sorting nexin 24 genetic variation associates with coronary artery aneurysm severity in Kawasaki disease patients

Overview of attention for article published in Cell & Bioscience, January 2013
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Citations

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Title
Sorting nexin 24 genetic variation associates with coronary artery aneurysm severity in Kawasaki disease patients
Published in
Cell & Bioscience, January 2013
DOI 10.1186/2045-3701-3-44
Pubmed ID
Authors

Ying-Ju Lin, Jeng-Sheng Chang, Xiang Liu, Ting-Hsu Lin, Shao-Mei Huang, Chiu-Chu Liao, Cheng-Wen Lin, Wen-Kuei Chien, Jin-Hua Chen, Jer-Yuarn Wu, Chien-Hsiun Chen, Li-Ching Chang, Hsinyi Tsang, Kuan-Teh Jeang, Chia-Yen Chen, Fuu-Jen Tsai

Abstract

The sorting nexin (SNX) family is involved in endocytosis and protein trafficking and plays multiple roles in various diseases. The role of SNX proteins in Kawasaki disease (KD) is not known. We attempted to test whether genetic SNX variation associates with the risk of coronary artery aneurysm (CAA) formation in KD.

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 22%
Student > Master 2 22%
Student > Bachelor 1 11%
Lecturer > Senior Lecturer 1 11%
Professor 1 11%
Other 0 0%
Unknown 2 22%
Readers by discipline Count As %
Medicine and Dentistry 2 22%
Agricultural and Biological Sciences 2 22%
Pharmacology, Toxicology and Pharmaceutical Science 1 11%
Biochemistry, Genetics and Molecular Biology 1 11%
Unknown 3 33%

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 28 November 2013.
All research outputs
#2,901,699
of 3,629,051 outputs
Outputs from Cell & Bioscience
#47
of 59 outputs
Outputs of similar age
#87,326
of 111,662 outputs
Outputs of similar age from Cell & Bioscience
#11
of 12 outputs
Altmetric has tracked 3,629,051 research outputs across all sources so far. This one is in the 2nd percentile – i.e., 2% of other outputs scored the same or lower than it.
So far Altmetric has tracked 59 research outputs from this source. They receive a mean Attention Score of 2.4. 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 111,662 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 12 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.