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Altering the balance between healthy and mutated mitochondrial DNA

Overview of attention for article published in Journal of Inherited Metabolic Disease, May 2010
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Citations

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Title
Altering the balance between healthy and mutated mitochondrial DNA
Published in
Journal of Inherited Metabolic Disease, May 2010
DOI 10.1007/s10545-010-9122-6
Pubmed ID
Authors

Paul M. Smith, Robert N. Lightowlers

Abstract

Pathogenic mutations of the mitochondrial genome are frequently found to co-exist with wild-type mtDNA molecules, a state known as heteroplasmy. In most disease cases, the mutation is recessive with manifestation of a clinical phenotype occurring when the proportion of mutated mtDNA exceeds a high threshold. The concept of increasing the ratio of healthy to mutated mtDNA as a means to correcting the biochemical defect has received much attention. A number of strategies are highlighted in this article, including manipulation of the mitochondrial genome by antigenomic drugs or restriction endonucleases, zinc finger peptide-targeted nucleases and exercise-induced gene shifting. The feasibility of these approaches has been demonstrated in a number of models, however more work is necessary before use in human patients.

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 %
United States 1 2%
Canada 1 2%
Unknown 44 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 24%
Student > Bachelor 8 17%
Researcher 6 13%
Professor > Associate Professor 6 13%
Student > Master 5 11%
Other 5 11%
Unknown 5 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 30%
Medicine and Dentistry 10 22%
Biochemistry, Genetics and Molecular Biology 9 20%
Neuroscience 3 7%
Sports and Recreations 2 4%
Other 3 7%
Unknown 5 11%
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 04 November 2011.
All research outputs
#15,238,442
of 22,656,971 outputs
Outputs from Journal of Inherited Metabolic Disease
#1,463
of 1,831 outputs
Outputs of similar age
#77,606
of 95,730 outputs
Outputs of similar age from Journal of Inherited Metabolic Disease
#19
of 23 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,831 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 15th percentile – i.e., 15% 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 95,730 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.