↓ Skip to main content

Hereditary hemorrhagic telangiectasia: genetics and molecular diagnostics in a new era

Overview of attention for article published in Frontiers in Genetics, January 2015
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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
2 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
378 Dimensions

Readers on

mendeley
178 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
Hereditary hemorrhagic telangiectasia: genetics and molecular diagnostics in a new era
Published in
Frontiers in Genetics, January 2015
DOI 10.3389/fgene.2015.00001
Pubmed ID
Authors

Jamie McDonald, Whitney Wooderchak-Donahue, Chad VanSant Webb, Kevin Whitehead, David A. Stevenson, Pinar Bayrak-Toydemir

Abstract

Hereditary hemorrhagic telangiectasia (HHT) is a vascular dysplasia characterized by telangiectases and arteriovenous malformations (AVMs) in particular locations described in consensus clinical diagnostic criteria published in 2000. Two genes in the transforming growth factor-beta (TGF-β) signaling pathway, ENG and ACVRL1, were discovered almost two decades ago, and mutations in these genes have been reported to cause up to 85% of HHT. In our experience, approximately 96% of individuals with HHT have a mutation in these two genes, when published (Curaçao) diagnostic criteria for HHT are strictly applied. More recently, two additional genes in the same pathway, SMAD4 and GDF2, have been identified in a much smaller number of patients with a similar or overlapping phenotype to HHT. Yet families still exist with compelling evidence of a hereditary telangiectasia disorder, but no identifiable mutation in a known gene. Recent availability of whole exome and genome testing has created new opportunities to facilitate gene discovery, identify genetic modifiers to explain clinical variability, and potentially define an increased spectrum of hereditary telangiectasia disorders. An expanded approach to molecular diagnostics for inherited telangiectasia disorders that incorporates a multi-gene next generation sequencing (NGS) HHT panel is proposed.

X Demographics

X Demographics

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 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Netherlands 1 <1%
Portugal 1 <1%
Unknown 175 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 16%
Student > Ph. D. Student 26 15%
Other 20 11%
Student > Bachelor 19 11%
Researcher 17 10%
Other 31 17%
Unknown 37 21%
Readers by discipline Count As %
Medicine and Dentistry 62 35%
Biochemistry, Genetics and Molecular Biology 41 23%
Agricultural and Biological Sciences 19 11%
Computer Science 3 2%
Engineering 3 2%
Other 9 5%
Unknown 41 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 11 February 2024.
All research outputs
#2,243,865
of 25,837,817 outputs
Outputs from Frontiers in Genetics
#509
of 13,784 outputs
Outputs of similar age
#30,334
of 363,573 outputs
Outputs of similar age from Frontiers in Genetics
#13
of 136 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,784 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 96% 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 363,573 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 91% of its contemporaries.
We're also able to compare this research output to 136 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 90% of its contemporaries.