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Do we need biomarkers to predict the benefit of adding adjuvant taxanes for treatment of breast cancer?

Overview of attention for article published in Breast Cancer Research, January 2012
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Title
Do we need biomarkers to predict the benefit of adding adjuvant taxanes for treatment of breast cancer?
Published in
Breast Cancer Research, January 2012
DOI 10.1186/bcr3093
Pubmed ID
Authors

José Pérez-García, Javier Cortés

Abstract

The current understanding of the molecular biology of breast cancer presents an extremely complex portrait of the disease. Based on this knowledge, considerable efforts are being made to identify biomarkers that will predict the response to a specific treatment while minimizing the risk of unnecessary side effects. In breast cancer, the Ki67 index has been associated with poor prognosis and might play a relevant role in predicting benefit from adjuvant docetaxel, as observed in the article accompanying this editorial. Taxanes are one of the most active cytotoxic agents for breast cancer. However, the role of taxane-based chemotherapy as adjuvant treatment of early breast cancer remains controversial in some subsets of patients. For this reason, the Ki67 index might help to better define the group of patients who could have the optimal benefit.

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The data shown below were collected from the profile of 1 X user 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 30%
Researcher 2 20%
Student > Doctoral Student 1 10%
Student > Ph. D. Student 1 10%
Student > Bachelor 1 10%
Other 2 20%
Readers by discipline Count As %
Medicine and Dentistry 6 60%
Psychology 2 20%
Agricultural and Biological Sciences 1 10%
Engineering 1 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 February 2012.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Breast Cancer Research
#1,883
of 2,053 outputs
Outputs of similar age
#231,116
of 253,430 outputs
Outputs of similar age from Breast Cancer Research
#44
of 45 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,053 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 1st percentile – i.e., 1% 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 253,430 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.