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A genome-wide association study identifies common variants influencing serum uric acid concentrations in a Chinese population

Overview of attention for article published in BMC Medical Genomics, February 2014
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Citations

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Title
A genome-wide association study identifies common variants influencing serum uric acid concentrations in a Chinese population
Published in
BMC Medical Genomics, February 2014
DOI 10.1186/1755-8794-7-10
Pubmed ID
Authors

Binyao Yang, Zengnan Mo, Chen Wu, Handong Yang, Xiaobo Yang, Yunfeng He, Lixuan Gui, Li Zhou, Huan Guo, Xiaomin Zhang, Jing Yuan, Xiayun Dai, Jun Li, Gaokun Qiu, Suli Huang, Qifei Deng, Yingying Feng, Lei Guan, Die Hu, Xiao Zhang, Tian Wang, Jiang Zhu, Xinwen Min, Mingjian Lang, Dongfeng Li, Frank B Hu, Dongxin Lin, Tangchun Wu, Meian He

Abstract

Uric acid (UA) is a complex phenotype influenced by both genetic and environmental factors as well as their interactions. Current genome-wide association studies (GWASs) have identified a variety of genetic determinants of UA in Europeans; however, such studies in Asians, especially in Chinese populations remain limited.

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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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 18%
Researcher 8 16%
Student > Bachelor 8 16%
Student > Ph. D. Student 6 12%
Student > Doctoral Student 3 6%
Other 6 12%
Unknown 9 18%
Readers by discipline Count As %
Medicine and Dentistry 10 20%
Agricultural and Biological Sciences 10 20%
Biochemistry, Genetics and Molecular Biology 8 16%
Arts and Humanities 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 6 12%
Unknown 9 18%
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 10 September 2014.
All research outputs
#17,726,563
of 22,763,032 outputs
Outputs from BMC Medical Genomics
#790
of 1,222 outputs
Outputs of similar age
#224,843
of 313,105 outputs
Outputs of similar age from BMC Medical Genomics
#9
of 12 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,222 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 313,105 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% 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 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.