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Validation of the Gail et al. Model of Breast Cancer Risk Prediction and Implications for Chemoprevention

Overview of attention for article published in JNCI: Journal of the National Cancer Institute, March 2001
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

policy
2 policy sources
twitter
1 X user
patent
8 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
513 Dimensions

Readers on

mendeley
206 Mendeley
citeulike
1 CiteULike
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Title
Validation of the Gail et al. Model of Breast Cancer Risk Prediction and Implications for Chemoprevention
Published in
JNCI: Journal of the National Cancer Institute, March 2001
DOI 10.1093/jnci/93.5.358
Pubmed ID
Authors

Beverly Rockhill, Donna Spiegelman, Celia Byrne, David J. Hunter, Graham A. Colditz

Abstract

Women and their clinicians are increasingly encouraged to use risk estimates derived from statistical models, primarily that of Gail et al., to aid decision making regarding potential prevention options for breast cancer, including chemoprevention with tamoxifen.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
India 1 <1%
Netherlands 1 <1%
Canada 1 <1%
Spain 1 <1%
Unknown 200 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 41 20%
Student > Ph. D. Student 36 17%
Student > Master 25 12%
Professor > Associate Professor 16 8%
Student > Doctoral Student 10 5%
Other 39 19%
Unknown 39 19%
Readers by discipline Count As %
Medicine and Dentistry 79 38%
Agricultural and Biological Sciences 16 8%
Biochemistry, Genetics and Molecular Biology 13 6%
Computer Science 9 4%
Social Sciences 5 2%
Other 35 17%
Unknown 49 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 27 July 2021.
All research outputs
#1,982,732
of 26,017,215 outputs
Outputs from JNCI: Journal of the National Cancer Institute
#1,294
of 7,934 outputs
Outputs of similar age
#1,579
of 43,405 outputs
Outputs of similar age from JNCI: Journal of the National Cancer Institute
#6
of 46 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 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,934 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.4. This one has done well, scoring higher than 83% 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 43,405 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 95% of its contemporaries.
We're also able to compare this research output to 46 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.