↓ Skip to main content

Predicting and Preventing Autoimmunity, Myth or Reality?

Overview of attention for article published in Annals of the New York Academy of Sciences, June 2006
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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
2 news outlets
twitter
6 X users
facebook
1 Facebook page
googleplus
5 Google+ users

Citations

dimensions_citation
68 Dimensions

Readers on

mendeley
68 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
Predicting and Preventing Autoimmunity, Myth or Reality?
Published in
Annals of the New York Academy of Sciences, June 2006
DOI 10.1196/annals.1351.031
Pubmed ID
Authors

MICHAL HAREL, YEHUDA SHOENFELD

Abstract

Many autoimmune diseases are chronic conditions that progress over the course of years, and are characterized by the presence of autoantibodies that precede the overt disease by months or years. As examples, the presence of two islet cell antibodies (ICA) are associated with a 50% risk of developing diabetes mellitus in 5 years, anticyclic citrullinated (anti-CCP) antibodies are found in the sera of rheumatoid arthritis (RA) patients a median of 4.5 years before the overt disease, and in systemic lupus erythematosus (SLE), patients accrue antibodies throughout a foreseen course during the 3-4 years prior to the clinical symptoms. This ability to predict autoimmune diseases, or rather their clinical manifestations, leads to the prospect of screening healthy individuals for autoantibodies. The importance of such a notion lies not only in the ability to prevent life-threatening manifestations, such as Addisonian's crisis and thyroid storm, but also in the ability to treat and even prevent overt autoimmune diseases. Among such documented treatment modalities are administration of aspirin in antiphospholipid syndrome, ursodeoxycholic acid in primary biliary cirrhosis (PBC), vitamin D in SLE and autoimmune thyroid diseases (AITD), and more. Although additional studies are still needed to fully assess these notions, as well as the appropriate screening strategies to apply them, one cannot ignore the prospect of predicting and preventing autoimmunity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 3 4%
Mexico 1 1%
Germany 1 1%
Unknown 63 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 15%
Researcher 9 13%
Student > Ph. D. Student 9 13%
Professor 8 12%
Student > Bachelor 6 9%
Other 16 24%
Unknown 10 15%
Readers by discipline Count As %
Medicine and Dentistry 31 46%
Agricultural and Biological Sciences 11 16%
Biochemistry, Genetics and Molecular Biology 5 7%
Nursing and Health Professions 4 6%
Computer Science 1 1%
Other 2 3%
Unknown 14 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 21 September 2023.
All research outputs
#1,546,764
of 25,541,640 outputs
Outputs from Annals of the New York Academy of Sciences
#534
of 11,942 outputs
Outputs of similar age
#2,703
of 88,089 outputs
Outputs of similar age from Annals of the New York Academy of Sciences
#5
of 69 outputs
Altmetric has tracked 25,541,640 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,942 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done particularly well, scoring higher than 95% 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 88,089 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 96% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.