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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 (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
5 tweeters
patent
1 patent
facebook
3 Facebook pages

Citations

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152 Dimensions

Readers on

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319 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

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 319 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 310 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 64 20%
Student > Master 46 14%
Student > Ph. D. Student 40 13%
Researcher 31 10%
Student > Doctoral Student 25 8%
Other 65 20%
Unknown 48 15%
Readers by discipline Count As %
Medicine and Dentistry 86 27%
Agricultural and Biological Sciences 64 20%
Biochemistry, Genetics and Molecular Biology 44 14%
Immunology and Microbiology 19 6%
Nursing and Health Professions 12 4%
Other 37 12%
Unknown 57 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 28 October 2022.
All research outputs
#4,649,623
of 22,986,950 outputs
Outputs from Journal of Biomedical Science
#173
of 998 outputs
Outputs of similar age
#40,242
of 245,374 outputs
Outputs of similar age from Journal of Biomedical Science
#6
of 21 outputs
Altmetric has tracked 22,986,950 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 998 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has done well, scoring higher than 82% 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 245,374 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 83% 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 gotten more attention than average, scoring higher than 71% of its contemporaries.