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Tumor Heterogeneity in Breast Cancer

Overview of attention for article published in Frontiers in Medicine, December 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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2 news outlets
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3 X users

Citations

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433 Dimensions

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622 Mendeley
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Title
Tumor Heterogeneity in Breast Cancer
Published in
Frontiers in Medicine, December 2017
DOI 10.3389/fmed.2017.00227
Pubmed ID
Authors

Gulisa Turashvili, Edi Brogi

Abstract

Breast cancer is a heterogeneous disease and differs greatly among different patients (intertumor heterogeneity) and even within each individual tumor (intratumor heterogeneity). Clinical and morphologic intertumor heterogeneity is reflected by staging systems and histopathologic classification of breast cancer. Heterogeneity in the expression of established prognostic and predictive biomarkers, hormone receptors, and human epidermal growth factor receptor 2 oncoprotein is the basis for targeted treatment. Molecular classifications are indicators of genetic tumor heterogeneity, which is probed with multigene assays and can lead to improved stratification into low- and high-risk groups for personalized therapy. Intratumor heterogeneity occurs at the morphologic, genomic, transcriptomic, and proteomic levels, creating diagnostic and therapeutic challenges. Understanding the molecular and cellular mechanisms of tumor heterogeneity that are relevant to the development of treatment resistance is a major area of research. Despite the improved knowledge of the complex genetic and phenotypic features underpinning tumor heterogeneity, there has been only limited advancement in diagnostic, prognostic, or predictive strategies for breast cancer. The current guidelines for reporting of biomarkers aim to maximize patient eligibility for targeted therapy, but do not take into account intratumor heterogeneity. The molecular classification of breast cancer is not implemented in routine clinical practice. Additional studies and in-depth analysis are required to understand the clinical significance of rapidly accumulating data. This review highlights inter- and intratumor heterogeneity of breast carcinoma with special emphasis on pathologic findings, and provides insights into the clinical significance of molecular and cellular mechanisms of heterogeneity.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 622 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 622 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 105 17%
Student > Master 86 14%
Student > Bachelor 76 12%
Researcher 56 9%
Other 18 3%
Other 55 9%
Unknown 226 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 155 25%
Medicine and Dentistry 63 10%
Agricultural and Biological Sciences 45 7%
Engineering 22 4%
Pharmacology, Toxicology and Pharmaceutical Science 20 3%
Other 67 11%
Unknown 250 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 07 June 2023.
All research outputs
#1,774,500
of 23,965,413 outputs
Outputs from Frontiers in Medicine
#466
of 6,296 outputs
Outputs of similar age
#41,482
of 445,606 outputs
Outputs of similar age from Frontiers in Medicine
#10
of 76 outputs
Altmetric has tracked 23,965,413 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,296 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one has done particularly well, scoring higher than 92% of its peers.
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 445,606 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.