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Attention Score in Context
Title |
Meta-analysis of associations between TCF7L2 polymorphisms and risk of type 2 diabetes mellitus in the Chinese population
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Published in |
BMC Medical Genomics, January 2013
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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. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
United States | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
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
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
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
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.
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 290,558 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
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.