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Mouse Cre Models for the Study of Bone Diseases

Overview of attention for article published in Current Osteoporosis Reports, June 2018
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Title
Mouse Cre Models for the Study of Bone Diseases
Published in
Current Osteoporosis Reports, June 2018
DOI 10.1007/s11914-018-0455-7
Pubmed ID
Authors

Sarah L. Dallas, Yixia Xie, Lora A. Shiflett, Yasuyoshi Ueki

Abstract

Transgenic Cre lines are a valuable tool for conditionally inactivating or activating genes to understand their function. Here, we provide an overview of Cre transgenic models used for studying gene function in bone cells and discuss their advantages and limitations, with particular emphasis on Cre lines used for studying osteocyte and osteoclast function. Recent studies have shown that many bone cell-targeted Cre models are not as specific as originally thought. To ensure accurate data interpretation, it is important for investigators to test for unexpected recombination events due to transient expression of Cre recombinase during development or in precursor cells and to be aware of the potential for germ line recombination of targeted genes as well as the potential for unexpected phenotypes due to the Cre transgene. Although many of the bone-targeted Cre-deleter strains are imperfect and each model has its own limitations, their careful use will continue to provide key advances in our understanding of bone cell function in health and disease.

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X Demographics

The data shown below were collected from the profiles of 2 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 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 19%
Researcher 14 14%
Student > Bachelor 14 14%
Student > Doctoral Student 6 6%
Professor 4 4%
Other 12 12%
Unknown 29 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 22%
Medicine and Dentistry 17 18%
Agricultural and Biological Sciences 7 7%
Engineering 7 7%
Immunology and Microbiology 4 4%
Other 10 10%
Unknown 31 32%
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 12 July 2018.
All research outputs
#20,235,780
of 25,732,188 outputs
Outputs from Current Osteoporosis Reports
#421
of 621 outputs
Outputs of similar age
#252,383
of 343,302 outputs
Outputs of similar age from Current Osteoporosis Reports
#10
of 15 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 621 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 24th percentile – i.e., 24% 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 343,302 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.