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Translating genotype data of 44,000 biobank participants into clinical pharmacogenetic recommendations: challenges and solutions

Overview of attention for article published in Genetics in Medicine, October 2018
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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 (91st percentile)

Mentioned by

news
1 news outlet
twitter
43 X users
patent
1 patent
facebook
3 Facebook pages
video
1 YouTube creator

Citations

dimensions_citation
73 Dimensions

Readers on

mendeley
160 Mendeley
citeulike
1 CiteULike
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Title
Translating genotype data of 44,000 biobank participants into clinical pharmacogenetic recommendations: challenges and solutions
Published in
Genetics in Medicine, October 2018
DOI 10.1038/s41436-018-0337-5
Pubmed ID
Authors

Sulev Reisberg, Kristi Krebs, Maarja Lepamets, Mart Kals, Reedik Mägi, Kristjan Metsalu, Volker M. Lauschke, Jaak Vilo, Lili Milani

X Demographics

X Demographics

The data shown below were collected from the profiles of 43 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 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 160 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 19%
Student > Ph. D. Student 20 13%
Student > Master 18 11%
Student > Bachelor 11 7%
Other 9 6%
Other 26 16%
Unknown 46 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 41 26%
Medicine and Dentistry 17 11%
Agricultural and Biological Sciences 13 8%
Pharmacology, Toxicology and Pharmaceutical Science 11 7%
Neuroscience 4 3%
Other 19 12%
Unknown 55 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 44. 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 03 August 2023.
All research outputs
#939,869
of 25,385,509 outputs
Outputs from Genetics in Medicine
#269
of 2,945 outputs
Outputs of similar age
#20,424
of 359,970 outputs
Outputs of similar age from Genetics in Medicine
#8
of 90 outputs
Altmetric has tracked 25,385,509 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 2,945 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one has done particularly well, scoring higher than 90% 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 359,970 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 90 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.