↓ Skip to main content

Meta-analysis of association between TCF7L2 polymorphism rs7903146 and type 2 diabetes mellitus

Overview of attention for article published in BMC Medical Genetics, March 2018
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)

Mentioned by

twitter
4 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
22 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Meta-analysis of association between TCF7L2 polymorphism rs7903146 and type 2 diabetes mellitus
Published in
BMC Medical Genetics, March 2018
DOI 10.1186/s12881-018-0553-5
Pubmed ID
Authors

Weiyue Ding, Li Xu, Lejun Zhang, Zhijie Han, Qinghua Jiang, Zhe Wang, Shuilin Jin

Abstract

Large scale association studies have found a significant association between type 2 diabetes mellitus (T2DM) and transcription factor 7-like 2 (TCF7L2) polymorphism rs7903146. However, the quality of data varies greatly, as the studies report inconsistent results in different populations. Hence, we perform this meta-analysis to give a more convincing result. The articles, published from January 1st, 2000 to April 1st, 2017, were identified by searching in PubMed and Google Scholar. A total of 56628 participants (34232 cases and 22396 controls) were included in the meta-analysis. A total of 28 studies were divided into 4 subgroups: Caucasian (10 studies), East Asian (5 studies), South Asian (5 studies) and Others (8 studies). All the data analyses were analyzed by the R package meta. The significant association was observed by using the dominant model (OR = 1.41, CI = 1.36 - 1.47, p < 0.0001), recessive model (OR = 1.58, CI = 1.48 - 1.69, p < 0.0001), additive model(CT vs CC) (OR = 1.34, CI = 1.28-1.39, p < 0.0001), additive model(TT vs CC) (OR = 1.81, CI = 1.69-1.94, p < 0.0001)and allele model (OR = 1.35, CI = 1.31-1.39, p < 0.0001). The meta-analysis suggested that rs7903146 was significantly associated with T2DM in Caucasian, East Asian, South Asian and other ethnicities.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 36%
Student > Ph. D. Student 4 18%
Student > Bachelor 3 14%
Student > Doctoral Student 1 5%
Librarian 1 5%
Other 1 5%
Unknown 4 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 27%
Medicine and Dentistry 5 23%
Nursing and Health Professions 2 9%
Agricultural and Biological Sciences 2 9%
Unspecified 1 5%
Other 1 5%
Unknown 5 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 December 2018.
All research outputs
#7,060,340
of 14,030,622 outputs
Outputs from BMC Medical Genetics
#236
of 851 outputs
Outputs of similar age
#110,083
of 277,150 outputs
Outputs of similar age from BMC Medical Genetics
#1
of 1 outputs
Altmetric has tracked 14,030,622 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 851 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 72% of its peers.
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 277,150 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them