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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

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
309 Dimensions

Readers on

mendeley
240 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

Mendeley readers

The data shown below were compiled from readership statistics for 240 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
Netherlands 1 <1%
Chile 1 <1%
Brazil 1 <1%
Portugal 1 <1%
Iran, Islamic Republic of 1 <1%
Mexico 1 <1%
Denmark 1 <1%
United States 1 <1%
Other 0 0%
Unknown 228 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 48 20%
Student > Ph. D. Student 38 16%
Student > Master 21 9%
Other 18 8%
Student > Bachelor 16 7%
Other 39 16%
Unknown 60 25%
Readers by discipline Count As %
Medicine and Dentistry 98 41%
Biochemistry, Genetics and Molecular Biology 15 6%
Computer Science 15 6%
Agricultural and Biological Sciences 13 5%
Mathematics 7 3%
Other 25 10%
Unknown 67 28%
Attention Score in Context

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
#8,759,452
of 25,837,817 outputs
Outputs from Breast Cancer Research
#996
of 2,078 outputs
Outputs of similar age
#53,730
of 177,157 outputs
Outputs of similar age from Breast Cancer Research
#7
of 14 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,078 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one is in the 38th percentile – i.e., 38% 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 177,157 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.