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Meta-analysis of associations between TCF7L2 polymorphisms and risk of type 2 diabetes mellitus in the Chinese population

Overview of attention for article published in BMC Medical Genomics, January 2013
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Title
Meta-analysis of associations between TCF7L2 polymorphisms and risk of type 2 diabetes mellitus in the Chinese population
Published in
BMC Medical Genomics, January 2013
DOI 10.1186/1471-2350-14-8
Pubmed ID
Authors

Jinjin Wang, Fulan Hu, Tianping Feng, Jingzhi Zhao, Lei Yin, Linlin Li, Yan Wang, Qian Wang, Dongsheng Hu

Abstract

Associations between transcription factor 7-like 2 (TCF7L2) polymorphisms and type 2 diabetes mellitus (T2DM) have been evaluated extensively in multiple ethnic groups. TCF7L2 has emerged as the strongest T2DM susceptibility gene in Europeans, but the findings have been inconsistent in the Chinese population. The purpose of this meta-analysis was to evaluate the associations between TCF7L2 single nucleotide polymorphisms (SNPs) and T2DM risk in the Chinese population.

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

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 21%
Student > Bachelor 6 18%
Researcher 5 15%
Student > Ph. D. Student 4 12%
Student > Postgraduate 2 6%
Other 3 9%
Unknown 7 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 21%
Agricultural and Biological Sciences 7 21%
Medicine and Dentistry 5 15%
Nursing and Health Professions 2 6%
Social Sciences 1 3%
Other 2 6%
Unknown 10 29%
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 13 January 2013.
All research outputs
#17,286,379
of 25,374,917 outputs
Outputs from BMC Medical Genomics
#1,315
of 2,444 outputs
Outputs of similar age
#194,482
of 290,558 outputs
Outputs of similar age from BMC Medical Genomics
#25
of 40 outputs
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So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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We're also able to compare this research output to 40 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.