↓ Skip to main content

The genetics of gout: towards personalised medicine?

Overview of attention for article published in BMC Medicine, May 2017
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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
6 news outlets
twitter
4 X users

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
91 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
The genetics of gout: towards personalised medicine?
Published in
BMC Medicine, May 2017
DOI 10.1186/s12916-017-0878-5
Pubmed ID
Authors

Nicola Dalbeth, Lisa K. Stamp, Tony R. Merriman

Abstract

Over the last decade, there have been major advances in the understanding of the genetic basis of hyperuricaemia and gout as well as of the pharmacogenetics of urate-lowering therapy. Key findings include the reporting of 28 urate-associated loci, the discovery that ABCG2 plays a central role on extra-renal uric acid excretion, the identification of genes associated with development of gout in the context of hyperuricaemia, recognition that ABCG2 variants influence allopurinol response, and the impact of HLA-B*5801 testing in reducing the prevalence of allopurinol hypersensitivity in high-risk populations. These advances, together with the reducing cost of whole genome sequencing, mean that integrated personalised medicine approaches may soon be possible in clinical practice. Genetic data may inform assessment of disease prognosis in individuals with hyperuricaemia or established gout, personalised lifestyle advice, selection and dosing of urate-lowering therapy, and prevention of serious medication adverse effects. In this article, we summarise the discoveries from genome-wide association studies and discuss the potential for translation of these findings into clinical practice.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 18%
Researcher 11 12%
Student > Bachelor 11 12%
Student > Master 9 10%
Student > Postgraduate 5 5%
Other 15 16%
Unknown 24 26%
Readers by discipline Count As %
Medicine and Dentistry 21 23%
Biochemistry, Genetics and Molecular Biology 17 19%
Pharmacology, Toxicology and Pharmaceutical Science 9 10%
Nursing and Health Professions 6 7%
Agricultural and Biological Sciences 4 4%
Other 10 11%
Unknown 24 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 45. 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 27 March 2021.
All research outputs
#788,998
of 22,977,819 outputs
Outputs from BMC Medicine
#548
of 3,453 outputs
Outputs of similar age
#17,986
of 316,427 outputs
Outputs of similar age from BMC Medicine
#10
of 50 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,453 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.5. This one has done well, scoring higher than 84% 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 316,427 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.