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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog
patent
21 patents
wikipedia
3 Wikipedia pages
f1000
1 research highlight platform

Readers on

mendeley
179 Mendeley
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Article details
Title
Production of CFTR-null and CFTR-ΔF508 heterozygous pigs by adeno-associated virus–mediated gene targeting and somatic cell nuclear transfer
Published in
Journal of Clinical Investigation, March 2008
DOI 10.1172/jci34773
Pubmed ID
Authors
Abstract

Progress toward understanding the pathogenesis of cystic fibrosis (CF) and developing effective therapies has been hampered by lack of a relevant animal model. CF mice fail to develop the lung and pancreatic disease that cause most of the morbidity and mortality in patients with CF. Pigs may be better animals than mice in which to model human genetic diseases because their anatomy, biochemistry, physiology, size, and genetics are more similar to those of humans. However, to date, gene-targeted mammalian models of human genetic disease have not been reported for any species other than mice. Here we describe the first steps toward the generation of a pig model of CF. We used recombinant adeno-associated virus (rAAV) vectors to deliver genetic constructs targeting the CF transmembrane conductance receptor (CFTR) gene to pig fetal fibroblasts. We generated cells with the CFTR gene either disrupted or containing the most common CF-associated mutation (DeltaF508). These cells were used as nuclear donors for somatic cell nuclear transfer to porcine oocytes. We thereby generated heterozygote male piglets with each mutation. These pigs should be of value in producing new models of CF. In addition, because gene-modified mice often fail to replicate human diseases, this approach could be used to generate models of other human genetic diseases in species other than mice.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 1%
United Kingdom 2 1%
Portugal 1 <1%
Netherlands 1 <1%
Korea, Republic of 1 <1%
Israel 1 <1%
Ireland 1 <1%
France 1 <1%
Denmark 1 <1%
Other 2 1%
Unknown 166 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 42 23%
Student > Ph. D. Student 37 21%
Student > Bachelor 22 12%
Student > Master 16 9%
Professor 8 4%
Other 26 15%
Unknown 28 16%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 66 37%
Biochemistry, Genetics and Molecular Biology 29 16%
Medicine and Dentistry 23 13%
Pharmacology, Toxicology and Pharmaceutical Science 6 3%
Veterinary Science and Veterinary Medicine 5 3%
Other 17 9%
Unknown 33 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 December 2025.
All research outputs
#2,516,620
of 34,054,827 outputs
Outputs from Journal of Clinical Investigation
#3,292
of 20,797 outputs
Outputs of similar age
#7,197
of 134,655 outputs
Outputs of similar age from Journal of Clinical Investigation
#17
of 115 outputs
Altmetric has tracked 34,054,827 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,797 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. This one has done well, scoring higher than 83% of its peers.
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 134,655 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.