↓ Skip to main content

A study of the role of GATA4 polymorphism in cardiovascular metabolic disorders

Overview of attention for article published in Human Genomics, December 2013
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
36 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
A study of the role of GATA4 polymorphism in cardiovascular metabolic disorders
Published in
Human Genomics, December 2013
DOI 10.1186/1479-7364-7-25
Pubmed ID
Authors

Nzioka P Muiya, Salma M Wakil, Asma I Tahir, Samya Hagos, Mohammed Najai, Daisy Gueco, Nada Al-Tassan, Editha Andres, Nejat Mazher, Brian F Meyer, Nduna Dzimiri

Abstract

The study was designed to evaluate the association of GATA4 gene polymorphism with coronary artery disease (CAD) and its metabolic risk factors, including dyslipidaemic disorders, obesity, type 2 diabetes and hypertension, following a preliminary study linking early onset of CAD in heterozygous familial hypercholesterolaemia to chromosome 8, which harbours the GATA4 gene.

X Demographics

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

Geographical breakdown

Country Count As %
New Zealand 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 17%
Student > Ph. D. Student 5 14%
Student > Master 4 11%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Other 4 11%
Unknown 13 36%
Readers by discipline Count As %
Medicine and Dentistry 9 25%
Agricultural and Biological Sciences 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Economics, Econometrics and Finance 2 6%
Other 3 8%
Unknown 15 42%
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 December 2013.
All research outputs
#20,674,485
of 25,394,764 outputs
Outputs from Human Genomics
#463
of 564 outputs
Outputs of similar age
#244,950
of 320,528 outputs
Outputs of similar age from Human Genomics
#7
of 9 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 564 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 7th percentile – i.e., 7% 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 320,528 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.