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Emerging Technologies to Create Inducible and Genetically Defined Porcine Cancer Models

Overview of attention for article published in Frontiers in Genetics, February 2016
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Title
Emerging Technologies to Create Inducible and Genetically Defined Porcine Cancer Models
Published in
Frontiers in Genetics, February 2016
DOI 10.3389/fgene.2016.00028
Pubmed ID
Authors

Lawrence B. Schook, Laurie Rund, Karine R. Begnini, Mariana H. Remião, Fabiana K. Seixas, Tiago Collares

Abstract

There is an emerging need for new animal models that address unmet translational cancer research requirements. Transgenic porcine models provide an exceptional opportunity due to their genetic, anatomic, and physiological similarities with humans. Due to recent advances in the sequencing of domestic animal genomes and the development of new organism cloning technologies, it is now very feasible to utilize pigs as a malleable species, with similar anatomic and physiological features with humans, in which to develop cancer models. In this review, we discuss genetic modification technologies successfully used to produce porcine biomedical models, in particular the Cre-loxP System as well as major advances and perspectives the CRISPR/Cas9 System. Recent advancements in porcine tumor modeling and genome editing will bring porcine models to the forefront of translational cancer research.

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X Demographics

X Demographics

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 20%
Student > Bachelor 7 15%
Researcher 6 13%
Student > Ph. D. Student 5 11%
Student > Doctoral Student 3 7%
Other 7 15%
Unknown 9 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 30%
Agricultural and Biological Sciences 13 28%
Nursing and Health Professions 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Veterinary Science and Veterinary Medicine 2 4%
Other 4 9%
Unknown 8 17%
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 February 2016.
All research outputs
#18,444,553
of 22,852,911 outputs
Outputs from Frontiers in Genetics
#7,057
of 11,863 outputs
Outputs of similar age
#216,186
of 297,592 outputs
Outputs of similar age from Frontiers in Genetics
#50
of 59 outputs
Altmetric has tracked 22,852,911 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 11,863 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 27th percentile – i.e., 27% 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 297,592 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 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.