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Risk Prediction Models for Colorectal Cancer Incorporating Common Genetic Variants: A Systematic Review

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

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 tweeters

Readers on

mendeley
6 Mendeley
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Title
Risk Prediction Models for Colorectal Cancer Incorporating Common Genetic Variants: A Systematic Review
Published in
Cancer Epidemiology, Biomarkers & Prevention, July 2019
DOI 10.1158/1055-9965.epi-19-0059
Pubmed ID
Authors

Luke McGeoch, Catherine L. Saunders, Simon J. Griffin, Jon D. Emery, Fiona M. Walter, Deborah J. Thompson, Antonis C. Antoniou, Juliet A. Usher-Smith

Twitter Demographics

The data shown below were collected from the profiles of 4 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 33%
Student > Ph. D. Student 1 17%
Student > Postgraduate 1 17%
Researcher 1 17%
Student > Bachelor 1 17%
Other 0 0%
Readers by discipline Count As %
Unspecified 3 50%
Medicine and Dentistry 2 33%
Biochemistry, Genetics and Molecular Biology 1 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 October 2019.
All research outputs
#8,274,519
of 13,722,218 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#2,063
of 3,274 outputs
Outputs of similar age
#138,563
of 249,009 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#34
of 57 outputs
Altmetric has tracked 13,722,218 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,274 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 249,009 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.