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Dysfunctional immunoproteasomes in autoinflammatory diseases

Overview of attention for article published in Inflammation and Regeneration, May 2016
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Title
Dysfunctional immunoproteasomes in autoinflammatory diseases
Published in
Inflammation and Regeneration, May 2016
DOI 10.1186/s41232-016-0011-8
Pubmed ID
Authors

Hideki Arimochi, Yuki Sasaki, Akiko Kitamura, Koji Yasutomo

Abstract

Recent progress in DNA sequencing technology has made it possible to identify specific genetic mutations in familial disorders. For example, autoinflammatory syndromes are caused by mutations in gene coding for immunoproteasomes. These diseases include Japanese autoinflammatory syndrome with lipodystrophy, Nakajo-Nishimura syndrome, joint contractures, muscular atrophy, microcytic anemia, panniculitis-associated lipodystrophy syndrome, and chronic atypical neutrophilic dermatosis with lipodystrophy and elevated temperature syndrome. Causal mutations of these syndromes are present in gene coding for subunits of the immunoproteasome. Importantly, a genetically modified mouse that lacks the catalytic subunit of immunoproteasomes does not always develop an autoinflammatory syndrome. Analysis of causal gene mutations, assessment of patients' phenotypic changes, and appropriate animal models will be indispensable for clarifying the underlying mechanisms responsible for the development of autoinflammatory syndromes and establishing curative approaches.

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The data shown below were collected from the profiles of 2 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 33%
Other 3 17%
Professor 2 11%
Student > Ph. D. Student 2 11%
Student > Bachelor 1 6%
Other 2 11%
Unknown 2 11%
Readers by discipline Count As %
Medicine and Dentistry 5 28%
Biochemistry, Genetics and Molecular Biology 4 22%
Immunology and Microbiology 2 11%
Agricultural and Biological Sciences 2 11%
Environmental Science 1 6%
Other 2 11%
Unknown 2 11%
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 30 May 2016.
All research outputs
#17,286,379
of 25,374,917 outputs
Outputs from Inflammation and Regeneration
#163
of 258 outputs
Outputs of similar age
#224,694
of 352,949 outputs
Outputs of similar age from Inflammation and Regeneration
#5
of 6 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 258 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 26th percentile – i.e., 26% 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 352,949 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.