↓ Skip to main content

Integrating genetics and epigenetics in breast cancer: biological insights, experimental, computational methods and therapeutic potential

Overview of attention for article published in BMC Systems Biology, September 2015
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
88 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Integrating genetics and epigenetics in breast cancer: biological insights, experimental, computational methods and therapeutic potential
Published in
BMC Systems Biology, September 2015
DOI 10.1186/s12918-015-0211-x
Pubmed ID
Authors

Claudia Cava, Gloria Bertoli, Isabella Castiglioni

Abstract

Development of human cancer can proceed through the accumulation of different genetic changes affecting the structure and function of the genome. Combined analyses of molecular data at multiple levels, such as DNA copy-number alteration, mRNA and miRNA expression, can clarify biological functions and pathways deregulated in cancer. The integrative methods that are used to investigate these data involve different fields, including biology, bioinformatics, and statistics. These methodologies are presented in this review, and their implementation in breast cancer is discussed with a focus on integration strategies. We report current applications, recent studies and interesting results leading to the identification of candidate biomarkers for diagnosis, prognosis, and therapy in breast cancer by using both individual and combined analyses. This review presents a state of art of the role of different technologies in breast cancer based on the integration of genetics and epigenetics, and shares some issues related to the new opportunities and challenges offered by the application of such integrative approaches.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Norway 1 1%
Unknown 86 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 24%
Student > Master 17 19%
Student > Ph. D. Student 11 13%
Student > Bachelor 9 10%
Other 6 7%
Other 14 16%
Unknown 10 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 30%
Agricultural and Biological Sciences 22 25%
Medicine and Dentistry 12 14%
Computer Science 3 3%
Immunology and Microbiology 2 2%
Other 9 10%
Unknown 14 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 September 2015.
All research outputs
#3,967,916
of 8,582,592 outputs
Outputs from BMC Systems Biology
#352
of 871 outputs
Outputs of similar age
#97,759
of 239,154 outputs
Outputs of similar age from BMC Systems Biology
#14
of 29 outputs
Altmetric has tracked 8,582,592 research outputs across all sources so far. This one has received more attention than most of these and is in the 52nd percentile.
So far Altmetric has tracked 871 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 57% 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 239,154 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 57% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.