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Aging Mouse Models Reveal Complex Tumor-Microenvironment Interactions in Cancer Progression

Overview of attention for article published in Frontiers in Cell and Developmental Biology, March 2018
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Title
Aging Mouse Models Reveal Complex Tumor-Microenvironment Interactions in Cancer Progression
Published in
Frontiers in Cell and Developmental Biology, March 2018
DOI 10.3389/fcell.2018.00035
Pubmed ID
Authors

Hidetoshi Mori, Robert D. Cardiff, Alexander D. Borowsky

Abstract

Mouse models and genetically engineered mouse models (GEMM) are essential experimental tools for the understanding molecular mechanisms within complex biological systems. GEMM are especially useful for inferencing phenocopy information to genetic human diseases such as breast cancer. Human breast cancer modeling in mice most commonly employs mammary epithelial-specific promoters to investigate gene function(s) and, in particular, putative oncogenes. Models are specifically useful in the mammary epithelial cell in the context of the complete mammary gland environment. Gene targeted knockout mice including conditional targeting to specific mammary cells can reveal developmental defects in mammary organogenesis and demonstrate the importance of putative tumor suppressor genes. Some of these models demonstrate a non-traditional type of tumor suppression which involves interplay between the tumor susceptible cell and its host/environment. These GEMM help to reveal the processes of cancer progression beyond those intrinsic to cancer cells. Furthermore, the, analysis of mouse models requires appropriate consideration of mouse strain, background, and environmental factors. In this review, we compare aging-related factors in mouse models for breast cancer. We introduce databases of GEMM attributes and colony functional variations.

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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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 26%
Student > Doctoral Student 4 15%
Other 3 11%
Professor 2 7%
Student > Bachelor 2 7%
Other 4 15%
Unknown 5 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 26%
Medicine and Dentistry 5 19%
Agricultural and Biological Sciences 2 7%
Veterinary Science and Veterinary Medicine 1 4%
Nursing and Health Professions 1 4%
Other 2 7%
Unknown 9 33%
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 29 March 2018.
All research outputs
#18,594,219
of 23,031,582 outputs
Outputs from Frontiers in Cell and Developmental Biology
#5,010
of 9,120 outputs
Outputs of similar age
#256,277
of 329,870 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#35
of 38 outputs
Altmetric has tracked 23,031,582 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,120 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 32nd percentile – i.e., 32% 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 329,870 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 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.