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Breast cancer risk prediction and individualised screening based on common genetic variation and breast density measurement

Overview of attention for article published in Breast Cancer Research, February 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
1 tweeter
patent
1 patent

Citations

dimensions_citation
81 Dimensions

Readers on

mendeley
74 Mendeley
citeulike
1 CiteULike
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Title
Breast cancer risk prediction and individualised screening based on common genetic variation and breast density measurement
Published in
Breast Cancer Research, February 2012
DOI 10.1186/bcr3110
Pubmed ID
Authors

Hatef Darabi, Kamila Czene, Wanting Zhao, Jianjun Liu, Per Hall, Keith Humphreys

Abstract

Over the last decade several breast cancer risk alleles have been identified which has led to an increased interest in individualised risk prediction for clinical purposes.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Netherlands 1 1%
Colombia 1 1%
Sweden 1 1%
Unknown 70 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 30%
Researcher 16 22%
Student > Master 8 11%
Other 8 11%
Student > Bachelor 6 8%
Other 9 12%
Unknown 5 7%
Readers by discipline Count As %
Medicine and Dentistry 25 34%
Agricultural and Biological Sciences 12 16%
Biochemistry, Genetics and Molecular Biology 11 15%
Nursing and Health Professions 4 5%
Physics and Astronomy 3 4%
Other 12 16%
Unknown 7 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 07 April 2016.
All research outputs
#3,387,865
of 13,130,902 outputs
Outputs from Breast Cancer Research
#515
of 1,481 outputs
Outputs of similar age
#48,025
of 213,899 outputs
Outputs of similar age from Breast Cancer Research
#7
of 48 outputs
Altmetric has tracked 13,130,902 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,481 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has gotten more attention than average, scoring higher than 64% 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 213,899 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 76% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.