↓ Skip to main content

Pharmacological Correctors of Mutant CFTR Mistrafficking

Overview of attention for article published in Frontiers in Pharmacology, January 2012
Altmetric Badge

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 (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
1 X user
patent
3 patents

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
50 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Pharmacological Correctors of Mutant CFTR Mistrafficking
Published in
Frontiers in Pharmacology, January 2012
DOI 10.3389/fphar.2012.00175
Pubmed ID
Authors

Nicoletta Pedemonte, Luis J. V. Galietta

Abstract

The lack of phenylalanine 508 (ΔF508 mutation) in the cystic fibrosis (CF) transmembrane conductance regulator (CFTR) Cl(-) channel represents the most frequent cause of CF, a genetic disease affecting multiple organs such as lung, pancreas, and liver. ΔF508 causes instability and misfolding of CFTR protein leading to early degradation in the endoplasmic reticulum and accelerated removal from the plasma membrane. Pharmacological correctors of mutant CFTR protein have been identified by high-throughput screening of large chemical libraries, by in silico docking of virtual compounds on CFTR structure models, or by using compounds that affect the whole proteome (e.g., histone deacetylase inhibitors) or a single CFTR-interacting protein. The presence of multiple defects of the CFTR protein caused by the ΔF508 mutation and the redundancy of quality control mechanisms detecting ΔF508-CFTR as a defective protein impose a ceiling to the maximal effect that a single compound (corrector) may obtain. Therefore, treatment of patients with the most frequent CF mutation may require the optimized combination of two drugs having additive or synergic effects.

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 4%
Hungary 1 2%
Portugal 1 2%
India 1 2%
Canada 1 2%
Belgium 1 2%
Unknown 43 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 26%
Student > Ph. D. Student 12 24%
Student > Bachelor 5 10%
Student > Postgraduate 4 8%
Student > Doctoral Student 3 6%
Other 8 16%
Unknown 5 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 36%
Medicine and Dentistry 8 16%
Biochemistry, Genetics and Molecular Biology 6 12%
Pharmacology, Toxicology and Pharmaceutical Science 5 10%
Chemistry 2 4%
Other 4 8%
Unknown 7 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 02 November 2017.
All research outputs
#4,573,352
of 22,679,690 outputs
Outputs from Frontiers in Pharmacology
#1,935
of 15,851 outputs
Outputs of similar age
#39,891
of 244,102 outputs
Outputs of similar age from Frontiers in Pharmacology
#28
of 137 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,851 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 87% 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 244,102 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.