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HLA-DQA1 and HLA-DQB1 in Celiac disease predisposition: practical implications of the HLA molecular typing

Overview of attention for article published in Journal of Biomedical Science, January 2012
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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6 tweeters
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2 patents
facebook
3 Facebook pages

Citations

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156 Dimensions

Readers on

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334 Mendeley
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Title
HLA-DQA1 and HLA-DQB1 in Celiac disease predisposition: practical implications of the HLA molecular typing
Published in
Journal of Biomedical Science, January 2012
DOI 10.1186/1423-0127-19-88
Pubmed ID
Authors

Francesca Megiorni, Antonio Pizzuti

Abstract

Celiac disease (CD) is a multifactorial disorder with an estimated prevalence in Europe and USA of 1:100 and a female:male ratio of approximately 2:1. The disorder has a multifactorial etiology in which the triggering environmental factor, the gluten, and the main genetic factors, Human Leukocyte Antigen (HLA)-DQA1 and HLA-DQB1 loci, are well known. About 90-95% of CD patients carry DQ2.5 heterodimers, encoded by DQA1*05 and DQB1*02 alleles both in cis or in trans configuration, and DQ8 molecules, encoded by DQB1*03:02 generally in combination with DQA1*03 variant. Less frequently, CD occurs in individuals positive for the DQ2.x heterodimers (DQA1≠*05 and DQB1*02) and very rarely in patients negative for these DQ predisposing markers. HLA molecular typing for Celiac disease is, therefore, a genetic test with a negative predictive value. Nevertheless, it is an important tool able to discriminate individuals genetically susceptible to CD, especially in at-risk groups such as first-degree relatives (parents, siblings and offspring) of patients and in presence of autoimmune conditions (type 1 diabetes, thyroiditis, multiple sclerosis) or specific genetic disorders (Down, Turner or Williams syndromes).

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters 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 334 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 <1%
Portugal 1 <1%
Germany 1 <1%
Sweden 1 <1%
Russia 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 325 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 64 19%
Student > Master 47 14%
Student > Ph. D. Student 40 12%
Researcher 35 10%
Student > Doctoral Student 25 7%
Other 64 19%
Unknown 59 18%
Readers by discipline Count As %
Medicine and Dentistry 88 26%
Agricultural and Biological Sciences 64 19%
Biochemistry, Genetics and Molecular Biology 47 14%
Immunology and Microbiology 21 6%
Nursing and Health Professions 12 4%
Other 36 11%
Unknown 66 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 29 August 2023.
All research outputs
#3,429,473
of 24,387,992 outputs
Outputs from Journal of Biomedical Science
#140
of 1,068 outputs
Outputs of similar age
#27,250
of 252,183 outputs
Outputs of similar age from Journal of Biomedical Science
#4
of 21 outputs
Altmetric has tracked 24,387,992 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,068 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 86% 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 252,183 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 89% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.