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Performance of Single Nucleotide Polymorphisms in Breast Cancer Risk Prediction Models: A Systematic Review and Meta-analysis

Overview of attention for article published in Cancer Epidemiology, Biomarkers & Prevention, March 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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2 X users
patent
2 patents

Citations

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15 Dimensions

Readers on

mendeley
47 Mendeley
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Title
Performance of Single Nucleotide Polymorphisms in Breast Cancer Risk Prediction Models: A Systematic Review and Meta-analysis
Published in
Cancer Epidemiology, Biomarkers & Prevention, March 2019
DOI 10.1158/1055-9965.epi-18-0810
Pubmed ID
Authors

Si Ming Fung, Xin Yi Wong, Shi Xun Lee, Hui Miao, Mikael Hartman, Hwee-Lin Wee

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 21%
Student > Ph. D. Student 5 11%
Student > Master 4 9%
Other 3 6%
Student > Postgraduate 2 4%
Other 4 9%
Unknown 19 40%
Readers by discipline Count As %
Medicine and Dentistry 14 30%
Biochemistry, Genetics and Molecular Biology 5 11%
Agricultural and Biological Sciences 3 6%
Mathematics 1 2%
Nursing and Health Professions 1 2%
Other 4 9%
Unknown 19 40%
Attention Score in Context

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 16 February 2021.
All research outputs
#7,963,683
of 25,385,509 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#1,981
of 4,849 outputs
Outputs of similar age
#142,550
of 367,575 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#29
of 90 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,849 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.4. This one has gotten more attention than average, scoring higher than 58% 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 367,575 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.