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PREDICT: a new UK prognostic model that predicts survival following surgery for invasive breast cancer

Overview of attention for article published in Breast Cancer Research, January 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
203 Dimensions

Readers on

mendeley
182 Mendeley
citeulike
1 CiteULike
Title
PREDICT: a new UK prognostic model that predicts survival following surgery for invasive breast cancer
Published in
Breast Cancer Research, January 2010
DOI 10.1186/bcr2464
Pubmed ID
Authors

Gordon C Wishart, Elizabeth M Azzato, David C Greenberg, Jem Rashbass, Olive Kearins, Gill Lawrence, Carlos Caldas, Paul DP Pharoah

Abstract

The aim of this study was to develop and validate a prognostication model to predict overall and breast cancer specific survival for women treated for early breast cancer in the UK.

Mendeley readers

The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
Brazil 1 <1%
Netherlands 1 <1%
Chile 1 <1%
Germany 1 <1%
Portugal 1 <1%
Iran, Islamic Republic of 1 <1%
Mexico 1 <1%
Denmark 1 <1%
Other 1 <1%
Unknown 169 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 41 23%
Student > Ph. D. Student 33 18%
Student > Master 20 11%
Other 16 9%
Student > Bachelor 15 8%
Other 35 19%
Unknown 22 12%
Readers by discipline Count As %
Medicine and Dentistry 87 48%
Biochemistry, Genetics and Molecular Biology 14 8%
Computer Science 12 7%
Agricultural and Biological Sciences 12 7%
Mathematics 7 4%
Other 20 11%
Unknown 30 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 December 2010.
All research outputs
#3,823,921
of 12,982,601 outputs
Outputs from Breast Cancer Research
#588
of 1,471 outputs
Outputs of similar age
#80,207
of 277,995 outputs
Outputs of similar age from Breast Cancer Research
#3
of 3 outputs
Altmetric has tracked 12,982,601 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,471 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one is in the 44th percentile – i.e., 44% 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 277,995 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.