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Cholesteryl ester transfer protein Taq IB polymorphism and its association with serum lipid levels and longevity in Chinese Bama Zhuang population

Overview of attention for article published in Lipids in Health and Disease, February 2012
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Title
Cholesteryl ester transfer protein Taq IB polymorphism and its association with serum lipid levels and longevity in Chinese Bama Zhuang population
Published in
Lipids in Health and Disease, February 2012
DOI 10.1186/1476-511x-11-26
Pubmed ID
Authors

Shang-Ling Pan, Fei Wang, Ze-Ping Lu, Cheng-Wu Liu, Cai-You Hu, Huan Luo, Jun-Hua Peng, Xiao-Qiu Luo, Guo-Fang Pang, Shao-Hua Lu, Hua-Yu Wu, Ling-Jin Huang, Rui-Xing Yin

Abstract

TaqIB polymorphism in the cholesteryl ester transfer protein (CETP) gene has been reported to be associated with serum high-density lipoprotein cholesterol (HDL-C) levels and longevity in several populations, but controversial results also arose probably due to racial/ethnic diversity. Bama is a remote and mountainous county located in the northwest of Guangxi, People's Republic of China, which has been well known for its longevity for centuries. The current study was to investigate the possible association of CETP TaqIB polymorphism with serum lipid levels and longevity in the Bama Zhuang population.

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 21%
Student > Ph. D. Student 3 21%
Student > Bachelor 2 14%
Lecturer 1 7%
Professor 1 7%
Other 2 14%
Unknown 2 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 29%
Biochemistry, Genetics and Molecular Biology 2 14%
Environmental Science 2 14%
Medicine and Dentistry 2 14%
Nursing and Health Professions 1 7%
Other 0 0%
Unknown 3 21%
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 November 2014.
All research outputs
#15,310,081
of 22,770,070 outputs
Outputs from Lipids in Health and Disease
#797
of 1,443 outputs
Outputs of similar age
#165,778
of 250,991 outputs
Outputs of similar age from Lipids in Health and Disease
#19
of 27 outputs
Altmetric has tracked 22,770,070 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,443 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 36th percentile – i.e., 36% 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 250,991 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.