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Pharmacogenetics in type 2 diabetes: precision medicine or discovery tool?

Overview of attention for article published in Diabetologia, March 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

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23 X users

Citations

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52 Dimensions

Readers on

mendeley
131 Mendeley
Title
Pharmacogenetics in type 2 diabetes: precision medicine or discovery tool?
Published in
Diabetologia, March 2017
DOI 10.1007/s00125-017-4227-1
Pubmed ID
Authors

Jose C. Florez

Abstract

In recent years, technological and analytical advances have led to an explosion in the discovery of genetic loci associated with type 2 diabetes. However, their ability to improve prediction of disease outcomes beyond standard clinical risk factors has been limited. On the other hand, genetic effects on drug response may be stronger than those commonly seen for disease incidence. Pharmacogenetic findings may aid in identifying new drug targets, elucidate pathophysiology, unravel disease heterogeneity, help prioritise specific genes in regions of genetic association, and contribute to personalised or precision treatment. In diabetes, precedent for the successful application of pharmacogenetic concepts exists in its monogenic subtypes, such as MODY or neonatal diabetes. Whether similar insights will emerge for the much more common entity of type 2 diabetes remains to be seen. As genetic approaches advance, the progressive deployment of candidate gene, large-scale genotyping and genome-wide association studies has begun to produce suggestive results that may transform clinical practice. However, many barriers to the translation of diabetes pharmacogenetic discoveries to the clinic still remain. This perspective offers a contemporary overview of the field with a focus on sulfonylureas and metformin, identifies the major uses of pharmacogenetics, and highlights potential limitations and future directions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Russia 1 <1%
Unknown 129 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 17%
Student > Master 19 15%
Student > Bachelor 17 13%
Student > Ph. D. Student 13 10%
Student > Postgraduate 7 5%
Other 18 14%
Unknown 35 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 20%
Medicine and Dentistry 22 17%
Pharmacology, Toxicology and Pharmaceutical Science 15 11%
Agricultural and Biological Sciences 12 9%
Computer Science 3 2%
Other 12 9%
Unknown 41 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 29 November 2017.
All research outputs
#2,392,277
of 23,658,138 outputs
Outputs from Diabetologia
#1,246
of 5,145 outputs
Outputs of similar age
#46,509
of 309,029 outputs
Outputs of similar age from Diabetologia
#32
of 64 outputs
Altmetric has tracked 23,658,138 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,145 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.4. This one has done well, scoring higher than 75% 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 309,029 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.