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Predictive genetic testing for the identification of high-risk groups: a simulation study on the impact of predictive ability

Overview of attention for article published in Genome Medicine, July 2011
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
34 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
43 Mendeley
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Title
Predictive genetic testing for the identification of high-risk groups: a simulation study on the impact of predictive ability
Published in
Genome Medicine, July 2011
DOI 10.1186/gm267
Pubmed ID
Authors

Raluca Mihaescu, Ramal Moonesinghe, Muin J Khoury, A Cecile JW Janssens

X Demographics

X Demographics

The data shown below were collected from the profiles of 34 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Germany 1 2%
Switzerland 1 2%
Brazil 1 2%
Unknown 38 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 33%
Student > Ph. D. Student 9 21%
Student > Bachelor 3 7%
Professor > Associate Professor 3 7%
Professor 2 5%
Other 7 16%
Unknown 5 12%
Readers by discipline Count As %
Medicine and Dentistry 13 30%
Agricultural and Biological Sciences 11 26%
Biochemistry, Genetics and Molecular Biology 6 14%
Nursing and Health Professions 1 2%
Computer Science 1 2%
Other 5 12%
Unknown 6 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 19 December 2018.
All research outputs
#2,159,435
of 25,394,764 outputs
Outputs from Genome Medicine
#473
of 1,587 outputs
Outputs of similar age
#9,999
of 130,350 outputs
Outputs of similar age from Genome Medicine
#2
of 15 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,587 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has gotten more attention than average, scoring higher than 70% 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 130,350 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 92% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.