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Public health implications from COGS and potential for risk stratification and screening

Overview of attention for article published in Nature Genetics, March 2013
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
14 news outlets
blogs
1 blog
policy
1 policy source
twitter
18 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
95 Dimensions

Readers on

mendeley
97 Mendeley
citeulike
1 CiteULike
Title
Public health implications from COGS and potential for risk stratification and screening
Published in
Nature Genetics, March 2013
DOI 10.1038/ng.2582
Pubmed ID
Authors

Hilary Burton, Susmita Chowdhury, Tom Dent, Alison Hall, Nora Pashayan, Paul Pharoah

Abstract

The PHG Foundation led a multidisciplinary program, which used results from COGS research identifying genetic variants associated with breast, ovarian and prostate cancers to model risk-stratified prevention for breast and prostate cancers. Implementing such strategies would require attention to the use and storage of genetic information, the development of risk assessment tools, new protocols for consent and programs of professional education and public engagement.

Twitter Demographics

The data shown below were collected from the profiles of 18 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
United Kingdom 3 3%
Ireland 1 1%
Estonia 1 1%
Norway 1 1%
Unknown 87 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 23%
Student > Ph. D. Student 18 19%
Student > Master 16 16%
Other 8 8%
Professor 8 8%
Other 17 18%
Unknown 8 8%
Readers by discipline Count As %
Medicine and Dentistry 30 31%
Agricultural and Biological Sciences 27 28%
Biochemistry, Genetics and Molecular Biology 9 9%
Computer Science 6 6%
Social Sciences 4 4%
Other 10 10%
Unknown 11 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 143. 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 10 July 2017.
All research outputs
#178,982
of 18,851,697 outputs
Outputs from Nature Genetics
#392
of 6,774 outputs
Outputs of similar age
#1,296
of 167,005 outputs
Outputs of similar age from Nature Genetics
#7
of 72 outputs
Altmetric has tracked 18,851,697 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,774 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.7. This one has done particularly well, scoring higher than 94% 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 167,005 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 99% of its contemporaries.
We're also able to compare this research output to 72 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.