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Impact of Breast Cancer Subtypes and Treatment on Survival: An Analysis Spanning Two Decades

Overview of attention for article published in Cancer Epidemiology, Biomarkers & Prevention, October 2012
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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)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet
twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
188 Dimensions

Readers on

mendeley
291 Mendeley
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Title
Impact of Breast Cancer Subtypes and Treatment on Survival: An Analysis Spanning Two Decades
Published in
Cancer Epidemiology, Biomarkers & Prevention, October 2012
DOI 10.1158/1055-9965.epi-12-0474
Pubmed ID
Authors

Reina Haque, Syed A. Ahmed, Galina Inzhakova, Jiaxiao Shi, Chantal Avila, Jonathan Polikoff, Leslie Bernstein, Shelley M. Enger, Michael F. Press

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 291 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 <1%
Singapore 1 <1%
Mexico 1 <1%
Belgium 1 <1%
Denmark 1 <1%
China 1 <1%
Japan 1 <1%
Greece 1 <1%
United States 1 <1%
Other 0 0%
Unknown 282 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 17%
Student > Master 49 17%
Researcher 30 10%
Student > Bachelor 28 10%
Other 20 7%
Other 44 15%
Unknown 70 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 63 22%
Medicine and Dentistry 58 20%
Agricultural and Biological Sciences 48 16%
Pharmacology, Toxicology and Pharmaceutical Science 11 4%
Nursing and Health Professions 7 2%
Other 30 10%
Unknown 74 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 13 May 2021.
All research outputs
#3,051,445
of 25,837,817 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#878
of 4,909 outputs
Outputs of similar age
#21,639
of 197,105 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#10
of 60 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,909 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.5. This one has done well, scoring higher than 81% 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 197,105 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 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 83% of its contemporaries.