Identification of low-frequency and rare sequence variants associated with elevated or reduced risk of type 2 diabetes

Overview of attention for article published in Nature Genetics, January 2014

Altmetric Badge

About this Attention Score

In the top 5% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (98th percentile)
Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

news: 3 news outlets
policy: 1 policy source
twitter: 83 tweeters

patent: 2 patents
facebook: 2 Facebook pages
googleplus: 1 Google+ user

Citations

dimensions_citation: 213 Dimensions

Readers on

mendeley: 235 Mendeley
citeulike: 5 CiteULike

Summary News Policy documents Twitter Patents Facebook Google+ Dimensions citations

So far, Dimensions has found 213 publications that cite this research output.

213

The most recent citing publications are shown below. View all 213 publications that cite this research output on Dimensions.

Genome-wide association study identifies novel risk variants from RPS6KA1, CADPS, VARS, and DHX58 for fasting plasma glucose in Arab population

Article in Scientific Reports (December 2020)

Identifying novel associations in GWAS by hierarchical Bayesian latent variable detection of differentially misclassified phenotypes

Article in BMC Bioinformatics (December 2020)

Pancreatic progenitor epigenome maps prioritize type 2 diabetes risk genes with roles in development

Preprint in bioRxiv (May 2020)