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Markers for the identification of late breast cancer recurrence

Overview of attention for article published in Breast Cancer Research, January 2015
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

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2 X users
facebook
4 Facebook pages

Citations

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62 Dimensions

Readers on

mendeley
110 Mendeley
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2 CiteULike
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Title
Markers for the identification of late breast cancer recurrence
Published in
Breast Cancer Research, January 2015
DOI 10.1186/s13058-015-0516-0
Pubmed ID
Authors

Ivana Sestak, Jack Cuzick

Abstract

Postmenopausal women with early breast cancer are at an ongoing risk of relapse, even after successful surgery and treatment of the primary tumor. The treatment of breast cancer has changed in the past few years because of the discovery of prognostic and predictive biomarkers that allow individualized breast cancer treatment. However, it is still not clear how to identify women that are at high risk of a late recurrence. Clinical parameters are good prognostic markers for early recurrence, but only nodal status and, to a lesser extent, tumor size have proven to be strong prognostic markers for late recurrence. Multi-gene signatures have become widely used for the prediction of overall recurrence risk and tailoring administration of adjuvant chemotherapy, but only a few have been shown to be prognostic for late (distant) relapse. There is a need to accurately identify women who may benefit from extended endocrine therapy but also those who may be spared any additional treatment. Recent results from large clinical trials have shown that the research is going in the right direction, and these results might help to optimize extended endocrine therapy for patients with early breast cancer. However, further research is needed to select individual biomarkers or multi-gene signatures that offer identification of late recurrence specifically and thus justify routine use of these tests in the clinical setting.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 3 3%
Namibia 1 <1%
Spain 1 <1%
Brazil 1 <1%
Unknown 104 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 16%
Researcher 14 13%
Student > Master 14 13%
Student > Bachelor 7 6%
Professor > Associate Professor 6 5%
Other 21 19%
Unknown 30 27%
Readers by discipline Count As %
Medicine and Dentistry 43 39%
Agricultural and Biological Sciences 17 15%
Biochemistry, Genetics and Molecular Biology 8 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Chemistry 2 2%
Other 7 6%
Unknown 30 27%
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 12 March 2015.
All research outputs
#14,783,688
of 25,373,627 outputs
Outputs from Breast Cancer Research
#1,286
of 2,052 outputs
Outputs of similar age
#181,477
of 360,902 outputs
Outputs of similar age from Breast Cancer Research
#22
of 48 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% 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 36th percentile – i.e., 36% 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 360,902 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.