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Lung Cancer Susceptibility Model Based on Age, Family History and Genetic Variants

Overview of attention for article published in PLOS ONE, April 2009
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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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
1 blog
wikipedia
1 Wikipedia page

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
45 Mendeley
citeulike
1 CiteULike
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Title
Lung Cancer Susceptibility Model Based on Age, Family History and Genetic Variants
Published in
PLOS ONE, April 2009
DOI 10.1371/journal.pone.0005302
Pubmed ID
Authors

Robert P. Young, Raewyn J. Hopkins, Bryan A. Hay, Michael J. Epton, Graham D. Mills, Peter N. Black, Heather D. Gardner, Richard Sullivan, Gregory D. Gamble

Abstract

Epidemiological and pedigree studies suggest that lung cancer results from the combined effects of age, smoking, impaired lung function and genetic factors. In a case control association study of healthy smokers and lung cancer cases, we identified genetic markers associated with either susceptibility or protection to lung cancer.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 2 4%
Indonesia 1 2%
Tunisia 1 2%
Unknown 41 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Ph. D. Student 8 18%
Student > Master 6 13%
Professor > Associate Professor 5 11%
Student > Bachelor 3 7%
Other 10 22%
Unknown 4 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 31%
Medicine and Dentistry 9 20%
Biochemistry, Genetics and Molecular Biology 6 13%
Engineering 2 4%
Social Sciences 2 4%
Other 3 7%
Unknown 9 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 19 November 2010.
All research outputs
#3,228,308
of 22,707,247 outputs
Outputs from PLOS ONE
#42,479
of 193,889 outputs
Outputs of similar age
#11,227
of 93,241 outputs
Outputs of similar age from PLOS ONE
#141
of 518 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,889 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 78% 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 93,241 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 87% of its contemporaries.
We're also able to compare this research output to 518 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 72% of its contemporaries.