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Impact of gene editing on the study of cystic fibrosis

Overview of attention for article published in Human Genetics, June 2016
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Title
Impact of gene editing on the study of cystic fibrosis
Published in
Human Genetics, June 2016
DOI 10.1007/s00439-016-1693-3
Pubmed ID
Authors

Patrick T. Harrison, David J. Sanz, Jennifer A. Hollywood

Abstract

Cystic fibrosis (CF) is a chronic and progressive autosomal recessive disorder of secretory epithelial cells, which causes obstructions in the lung airways and pancreatic ducts of 70,000 people worldwide (for recent review see Cutting Nat Rev Genet 16(1):45-56, 2015). The finding that mutations in the CFTR gene cause CF (Kerem et al. Science 245(4922):1073-1080, 1989; Riordan et al. Science 245(4922):1066-1073, 1989; Rommens et al. Science 245(4922):1059-1065, 1989), was hailed as the very happy middle of a story whose end is a cure for a fatal disease (Koshland Science 245(4922):1029, 1989). However, despite two licensed drugs (Ramsey et al. N Engl J Med 365(18):1663-1672, 2011; Wainwright et al. N Engl J Med 373(3):220-231, 2015), and a formal demonstration that repeated administration of CFTR cDNA to patients is safe and effects a modest but significant stabilisation of disease (Alton et al. Lancet Respir Med 3(9):684-691, 2015), we are still a long way from a cure, with many patients taking over 100 tablets per day, and a mean age at death of 28 years. The aim of this review is to discuss the impact on the study of CF of gene-editing techniques as they have developed over the last 30 years, up to and including the possibility of editing as a therapeutic approach.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 25%
Student > Ph. D. Student 8 15%
Student > Master 7 13%
Researcher 5 9%
Student > Doctoral Student 2 4%
Other 7 13%
Unknown 11 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 23%
Agricultural and Biological Sciences 9 17%
Medicine and Dentistry 5 9%
Pharmacology, Toxicology and Pharmaceutical Science 4 8%
Psychology 3 6%
Other 8 15%
Unknown 12 23%
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 27 June 2016.
All research outputs
#20,334,427
of 22,879,161 outputs
Outputs from Human Genetics
#2,818
of 2,955 outputs
Outputs of similar age
#305,539
of 353,105 outputs
Outputs of similar age from Human Genetics
#35
of 39 outputs
Altmetric has tracked 22,879,161 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,955 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 39 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.