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Multi-Analytic Approach Elucidates Significant Role of Hormonal and Hepatocanalicular Transporter Genetic Variants in Gallstone Disease in North Indian Population

Overview of attention for article published in PLOS ONE, April 2013
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Title
Multi-Analytic Approach Elucidates Significant Role of Hormonal and Hepatocanalicular Transporter Genetic Variants in Gallstone Disease in North Indian Population
Published in
PLOS ONE, April 2013
DOI 10.1371/journal.pone.0059173
Pubmed ID
Authors

Anshika Srivastava, Avshesh Mishra, Rajan Singh, Rajani Rai, Neena Srivastava, Balraj Mittal

Abstract

Cholesterol gallstone disease (CGD) is a multifactorial and multistep disease. Apart from female gender and increasing age being the documented non-modifiable risk factor for gallstones the pathobiological mechanisms underlying the phenotypic expression of CGD appear to be rather complex, and one or more variations in genes could play critical roles in the diverse pathways further progressing to cholesterol crystal formation. In the present study we performed genotyping score, Multifactor dimensionality reduction (MDR) and Classification and Regression Tree analysis (CART) to identify combinations of alleles among the hormonal, hepatocanalicular transporter and adipogenesis differentiation pathway genes in modifying the risk for CGD.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 22%
Student > Master 5 19%
Student > Ph. D. Student 4 15%
Student > Doctoral Student 2 7%
Professor 2 7%
Other 4 15%
Unknown 4 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 30%
Agricultural and Biological Sciences 7 26%
Medicine and Dentistry 5 19%
Neuroscience 1 4%
Unspecified 1 4%
Other 0 0%
Unknown 5 19%
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 09 April 2013.
All research outputs
#20,189,002
of 22,705,019 outputs
Outputs from PLOS ONE
#172,977
of 193,828 outputs
Outputs of similar age
#173,931
of 199,277 outputs
Outputs of similar age from PLOS ONE
#4,414
of 5,282 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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