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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, October 2019
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog
twitter
7 tweeters

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
43 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, October 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 7 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 21%
Researcher 7 16%
Student > Master 5 12%
Student > Postgraduate 4 9%
Student > Bachelor 2 5%
Other 3 7%
Unknown 13 30%
Readers by discipline Count As %
Medicine and Dentistry 17 40%
Social Sciences 3 7%
Biochemistry, Genetics and Molecular Biology 2 5%
Unspecified 2 5%
Nursing and Health Professions 2 5%
Other 3 7%
Unknown 14 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 May 2021.
All research outputs
#2,677,053
of 21,293,646 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#826
of 4,308 outputs
Outputs of similar age
#52,744
of 281,303 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#11
of 56 outputs
Altmetric has tracked 21,293,646 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,308 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 80% 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 281,303 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 81% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.