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Insights into the effects of disease‐causing mutations in human actins

Overview of attention for article published in Cytoskeleton, March 2014
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Article details
Title
Insights into the effects of disease‐causing mutations in human actins
Published in
Cytoskeleton, March 2014
DOI 10.1002/cm.21169
Pubmed ID
Authors
Abstract

Mutations in all six actins in humans have now been shown to cause diseases. However, a number of factors have made it difficult to gain insight into how the changes in actin functions brought about by these pathogenic mutations result in the disease phenotype. These include the presence of multiple actins in the same cell, limited accessibility to pure mutant material, and complexities associated with the structures and their component cells that manifest the diseases. To try to circumvent these difficulties, investigators have turned to the use of model systems. This review describes these various approaches, the initial results obtained using them, and the insight they have provided into allosteric mechanisms that govern actin function. Although results so far have not explained a particular disease phenotype at the molecular level, they have provided valuable insight into actin function at the mechanistic level which can be utilized in the future to delineate the molecular bases of these different actinopathies.

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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.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 58 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 %
Netherlands 2 3%
Unknown 56 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 11 19%
Student > Ph. D. Student 11 19%
Researcher 10 17%
Other 3 5%
Professor > Associate Professor 3 5%
Other 5 9%
Unknown 15 26%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 34%
Agricultural and Biological Sciences 11 19%
Medicine and Dentistry 5 9%
Physics and Astronomy 2 3%
Chemistry 2 3%
Other 3 5%
Unknown 15 26%
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 25 February 2014.
All research outputs
#20,000,155
of 24,577,646 outputs
Outputs from Cytoskeleton
#347
of 514 outputs
Outputs of similar age
#167,863
of 228,837 outputs
Outputs of similar age from Cytoskeleton
#4
of 14 outputs
Altmetric has tracked 24,577,646 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 514 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 4th percentile – i.e., 4% 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 228,837 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.