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Gene-Panel Sequencing and the Prediction of Breast-Cancer Risk

Overview of attention for article published in New England Journal of Medicine, May 2015
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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 (97th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

news
7 news outlets
blogs
1 blog
twitter
45 X users
facebook
5 Facebook pages
reddit
1 Redditor

Citations

dimensions_citation
762 Dimensions

Readers on

mendeley
600 Mendeley
citeulike
4 CiteULike
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Title
Gene-Panel Sequencing and the Prediction of Breast-Cancer Risk
Published in
New England Journal of Medicine, May 2015
DOI 10.1056/nejmsr1501341
Pubmed ID
Authors

Douglas F Easton, Paul D P Pharoah, Antonis C Antoniou, Marc Tischkowitz, Sean V Tavtigian, Katherine L Nathanson, Peter Devilee, Alfons Meindl, Fergus J Couch, Melissa Southey, David E Goldgar, D Gareth R Evans, Georgia Chenevix-Trench, Nazneen Rahman, Mark Robson, Susan M Domchek, William D Foulkes

X Demographics

X Demographics

The data shown below were collected from the profiles of 45 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 600 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Canada 2 <1%
Italy 1 <1%
United Kingdom 1 <1%
Unknown 593 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 96 16%
Student > Ph. D. Student 85 14%
Student > Master 74 12%
Other 49 8%
Student > Bachelor 45 8%
Other 126 21%
Unknown 125 21%
Readers by discipline Count As %
Medicine and Dentistry 160 27%
Biochemistry, Genetics and Molecular Biology 135 23%
Agricultural and Biological Sciences 70 12%
Computer Science 14 2%
Engineering 11 2%
Other 58 10%
Unknown 152 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 85. 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 17 January 2020.
All research outputs
#508,726
of 26,017,215 outputs
Outputs from New England Journal of Medicine
#6,693
of 32,765 outputs
Outputs of similar age
#5,523
of 283,863 outputs
Outputs of similar age from New England Journal of Medicine
#78
of 350 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,765 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 122.4. This one has done well, scoring higher than 79% 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 283,863 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 97% of its contemporaries.
We're also able to compare this research output to 350 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.