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A Review of Autoimmune Disease Hypotheses with Introduction of the “Nucleolus” Hypothesis

Overview of attention for article published in Clinical Reviews in Allergy & Immunology, June 2016
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users
wikipedia
1 Wikipedia page

Citations

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9 Dimensions

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mendeley
33 Mendeley
Title
A Review of Autoimmune Disease Hypotheses with Introduction of the “Nucleolus” Hypothesis
Published in
Clinical Reviews in Allergy & Immunology, June 2016
DOI 10.1007/s12016-016-8567-2
Pubmed ID
Authors

Wesley H. Brooks

Abstract

Numerous hypotheses have been proposed in order to explain the complexity of autoimmune diseases. These hypotheses provide frameworks towards understanding the relations between triggers, autoantigen development, symptoms, and demographics. However, testing and refining these hypotheses are difficult tasks since autoimmune diseases have a potentially overwhelming number of variables due to the influence on autoimmune diseases from environmental factors, genetics, and epigenetics. Typically, the hypotheses are narrow in scope, for example, explaining the diseases in terms of genetics without defining detailed roles for environmental factors or epigenetics. Here, we present a brief review of the major hypotheses of autoimmune diseases including a new one related to the consequences of abnormal nucleolar interactions with chromatin, the "nucleolus" hypothesis which was originally termed the "inactive X chromosome and nucleolus nexus" hypothesis. Indeed, the dynamic nucleolus can expand as part of a cellular stress response and potentially engulf portions of chromatin, leading to disruption of the chromatin. The inactive X chromosome (a.k.a. the Barr body) is particularly vulnerable due to its close proximity to the nucleolus. In addition, the polyamines, present at high levels in the nucleolus, are also suspected of contributing to the development of autoantigens.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 24%
Researcher 4 12%
Student > Doctoral Student 3 9%
Student > Postgraduate 3 9%
Student > Ph. D. Student 3 9%
Other 5 15%
Unknown 7 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 27%
Agricultural and Biological Sciences 7 21%
Medicine and Dentistry 5 15%
Immunology and Microbiology 4 12%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 0 0%
Unknown 7 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 16 February 2018.
All research outputs
#7,256,978
of 23,975,976 outputs
Outputs from Clinical Reviews in Allergy & Immunology
#291
of 690 outputs
Outputs of similar age
#115,030
of 358,356 outputs
Outputs of similar age from Clinical Reviews in Allergy & Immunology
#12
of 26 outputs
Altmetric has tracked 23,975,976 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 690 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has gotten more attention than average, scoring higher than 57% 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 358,356 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.