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A yeast phenomic model for the gene interaction network modulating CFTR-ΔF508 protein biogenesis

Overview of attention for article published in Genome Medicine, December 2012
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

blogs
2 blogs
twitter
9 X users

Citations

dimensions_citation
76 Dimensions

Readers on

mendeley
82 Mendeley
citeulike
1 CiteULike
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Title
A yeast phenomic model for the gene interaction network modulating CFTR-ΔF508 protein biogenesis
Published in
Genome Medicine, December 2012
DOI 10.1186/gm404
Pubmed ID
Authors

Raymond J Louie, Jingyu Guo, John W Rodgers, Rick White, Najaf A Shah, Silvere Pagant, Peter Kim, Michael Livstone, Kara Dolinski, Brett A McKinney, Jeong Hong, Eric J Sorscher, Jennifer Bryan, Elizabeth A Miller, John L Hartman

Abstract

The overall influence of gene interaction in human disease is unknown. In cystic fibrosis (CF) a single allele of the cystic fibrosis transmembrane conductance regulator (CFTR-[increment]F508) accounts for most of the disease. In cell models, CFTR-[increment]F508 exhibits defective protein biogenesis and degradation rather than proper trafficking to the plasma membrane where CFTR normally functions. Numerous genes function in the biogenesis of CFTR and influence the fate of CFTR-[increment]F508. However it is not known whether genetic variation in such genes contributes to disease severity in patients. Nor is there an easy way to study how numerous gene interactions involving CFTR-[increment]F would manifest phenotypically.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Portugal 1 1%
Germany 1 1%
Unknown 78 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 35%
Researcher 12 15%
Student > Master 9 11%
Student > Bachelor 8 10%
Student > Doctoral Student 4 5%
Other 13 16%
Unknown 7 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 37%
Biochemistry, Genetics and Molecular Biology 29 35%
Medicine and Dentistry 4 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Engineering 2 2%
Other 4 5%
Unknown 11 13%
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 03 August 2018.
All research outputs
#1,718,253
of 22,691,736 outputs
Outputs from Genome Medicine
#390
of 1,434 outputs
Outputs of similar age
#17,317
of 280,466 outputs
Outputs of similar age from Genome Medicine
#21
of 63 outputs
Altmetric has tracked 22,691,736 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 1,434 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one has gotten more attention than average, scoring higher than 72% 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 280,466 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 93% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.