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On the emerging role of rabbit as human disease model and the instrumental role of novel transgenic tools

Overview of attention for article published in Transgenic Research, March 2012
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71 Mendeley
Title
On the emerging role of rabbit as human disease model and the instrumental role of novel transgenic tools
Published in
Transgenic Research, March 2012
DOI 10.1007/s11248-012-9599-x
Pubmed ID
Authors

V. Duranthon, N. Beaujean, M. Brunner, K. E. Odening, A. Navarrete Santos, I. Kacskovics, L. Hiripi, E. J. Weinstein, Z. Bosze

Abstract

The laboratory rabbit (Oryctolagus cuniculus) is widely used as a model for human diseases, because of its size, which permits non-lethal monitoring of physiological changes and similar disease characteristics. Novel transgenic tools such as, the zinc finger nuclease method and the sleeping beauty transposon mediated or BAC transgenesis were recently adapted to the laboratory rabbit and opened new opportunities in precise tissue and developmental stage specific gene expression/silencing, coupled with increased transgenic efficiencies. Many facets of human development and diseases cannot be investigated in rodents. This is especially true for early prenatal development, its long-lasting effects on health and complex disorders, and some economically important diseases such as atherosclerosis or cardiovascular diseases. The first transgenic rabbits models of arrhythmogenesis mimic human cardiac diseases much better than transgenic mice and hereby underline the importance of non-mouse models. Another emerging field is epigenetic reprogramming and pathogenic mechanisms in diabetic pregnancy, where rabbit models are indispensable. Beyond that rabbit is used for decades as major source of polyclonal antibodies and recently in monoclonal antibody production. Alteration of its genome to increase the efficiency and value of the antibodies by humanization of the immunoglobulin genes, or by increasing the expression of a special receptor (Fc receptor) that augments humoral immune response is a current demand.

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The data shown below were collected from the profiles of 4 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 3%
Netherlands 1 1%
New Zealand 1 1%
Spain 1 1%
United States 1 1%
Unknown 65 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 25%
Researcher 16 23%
Student > Bachelor 11 15%
Student > Master 8 11%
Professor > Associate Professor 4 6%
Other 8 11%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 48%
Biochemistry, Genetics and Molecular Biology 10 14%
Medicine and Dentistry 9 13%
Nursing and Health Professions 3 4%
Neuroscience 3 4%
Other 6 8%
Unknown 6 8%
Attention Score in Context

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 29 July 2012.
All research outputs
#13,863,864
of 22,663,150 outputs
Outputs from Transgenic Research
#685
of 889 outputs
Outputs of similar age
#91,164
of 156,014 outputs
Outputs of similar age from Transgenic Research
#7
of 11 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 889 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 22nd percentile – i.e., 22% 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 156,014 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.