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American Association for Cancer Research

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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
7 X users

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
54 Mendeley
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

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 19%
Researcher 7 13%
Student > Master 6 11%
Student > Bachelor 4 7%
Student > Postgraduate 4 7%
Other 4 7%
Unknown 19 35%
Readers by discipline Count As %
Medicine and Dentistry 20 37%
Nursing and Health Professions 3 6%
Social Sciences 3 6%
Biochemistry, Genetics and Molecular Biology 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 3 6%
Unknown 21 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 28 August 2023.
All research outputs
#1,731,831
of 25,385,509 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#532
of 4,850 outputs
Outputs of similar age
#36,856
of 362,793 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#8
of 60 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,850 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 done well, scoring higher than 89% 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 362,793 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 89% of its contemporaries.
We're also able to compare this research output to 60 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.