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Benefits of biomarker selection and clinico-pathological covariate inclusion in breast cancer prognostic models

Overview of attention for article published in Breast Cancer Research, September 2010
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Mentioned by

patent
1 patent

Citations

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15 Dimensions

Readers on

mendeley
30 Mendeley
citeulike
1 CiteULike
Title
Benefits of biomarker selection and clinico-pathological covariate inclusion in breast cancer prognostic models
Published in
Breast Cancer Research, September 2010
DOI 10.1186/bcr2633
Pubmed ID
Authors

Fabio Parisi, Ana M González, Yasmine Nadler, Robert L Camp, David L Rimm, Harriet M Kluger, Yuval Kluger

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 30%
Student > Bachelor 4 13%
Student > Master 4 13%
Student > Ph. D. Student 4 13%
Other 3 10%
Other 5 17%
Unknown 1 3%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 27%
Medicine and Dentistry 7 23%
Agricultural and Biological Sciences 5 17%
Computer Science 4 13%
Economics, Econometrics and Finance 2 7%
Other 1 3%
Unknown 3 10%
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 23 December 2015.
All research outputs
#8,533,995
of 25,371,288 outputs
Outputs from Breast Cancer Research
#977
of 2,052 outputs
Outputs of similar age
#38,280
of 103,819 outputs
Outputs of similar age from Breast Cancer Research
#11
of 19 outputs
Altmetric has tracked 25,371,288 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 2,052 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one is in the 39th percentile – i.e., 39% 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 103,819 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.