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Dove Medical Press

The crossroads of breast cancer progression: insights into the modulation of major signaling pathways

Overview of attention for article published in OncoTargets and therapy, November 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

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6 X users
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1 Facebook page

Citations

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59 Dimensions

Readers on

mendeley
132 Mendeley
Title
The crossroads of breast cancer progression: insights into the modulation of major signaling pathways
Published in
OncoTargets and therapy, November 2017
DOI 10.2147/ott.s142154
Pubmed ID
Authors

Fernando J Velloso, Arthur FR Bianco, Jessica O Farias, Nadia EC Torres, Pault YM Ferruzo, Valesca Anschau, Henrique C Jesus-Ferreira, Ted Hung-Tse Chang, Mari Cleide Sogayar, Luiz F Zerbini, Ricardo G Correa

Abstract

Cancer is the disease with highest public health impact in developed countries. Particularly, breast cancer has the highest incidence in women worldwide and the fifth highest mortality in the globe, imposing a significant social and economic burden to society. The disease has a complex heterogeneous etiology, being associated with several risk factors that range from lifestyle to age and family history. Breast cancer is usually classified according to the site of tumor occurrence and gene expression profiling. Although mutations in a few key genes, such as BRCA1 and BRCA2, are associated with high breast cancer risk, the large majority of breast cancer cases are related to mutated genes of low penetrance, which are frequently altered in the whole population. Therefore, understanding the molecular basis of breast cancer, including the several deregulated genes and related pathways linked to this pathology, is essential to ensure advances in early tumor detection and prevention. In this review, we outline key cellular pathways whose deregulation has been associated with breast cancer, leading to alterations in cell proliferation, apoptosis, and the delicate hormonal balance of breast tissue cells. Therefore, here we describe some potential breast cancer-related nodes and signaling concepts linked to the disease, which can be positively translated into novel therapeutic approaches and predictive biomarkers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 132 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 17%
Student > Ph. D. Student 22 17%
Researcher 13 10%
Student > Bachelor 10 8%
Professor > Associate Professor 5 4%
Other 19 14%
Unknown 40 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 37 28%
Medicine and Dentistry 14 11%
Agricultural and Biological Sciences 13 10%
Nursing and Health Professions 5 4%
Pharmacology, Toxicology and Pharmaceutical Science 5 4%
Other 15 11%
Unknown 43 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 November 2017.
All research outputs
#8,398,762
of 25,707,225 outputs
Outputs from OncoTargets and therapy
#499
of 3,013 outputs
Outputs of similar age
#127,412
of 341,771 outputs
Outputs of similar age from OncoTargets and therapy
#15
of 73 outputs
Altmetric has tracked 25,707,225 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 3,013 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 81% 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 341,771 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.