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Research on potential biomarkers in hereditary hemorrhagic telangiectasia

Overview of attention for article published in Frontiers in Genetics, March 2015
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  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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3 X users
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1 patent

Citations

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36 Dimensions

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Title
Research on potential biomarkers in hereditary hemorrhagic telangiectasia
Published in
Frontiers in Genetics, March 2015
DOI 10.3389/fgene.2015.00115
Pubmed ID
Authors

Luisa-María Botella, Virginia Albiñana, Luisa Ojeda-Fernandez, Lucia Recio-Poveda, Carmelo Bernabéu

Abstract

Hereditary hemorrhagic telangiectasia (HHT) is a genetically heterogeneous disorder, involving mutations in two predominant genes known as Endoglin (ENG; HHT1) and activin receptor-like kinase 1 (ACVRL1/ALK1; HHT2), as well as in some less frequent genes, such as MADH4/SMAD4 (JP-HHT) or BMP9/GDF2 (HHT5). The diagnosis of HHT patients currently remains at the clinical level, according to the "Curaçao criteria," whereas the molecular diagnosis is used to confirm or rule out suspected HHT cases, especially when a well characterized index case is present in the family or in an isolated population. Unfortunately, many suspected patients do not present a clear HHT diagnosis or do not show pathogenic mutations in HHT genes, prompting the need to investigate additional biomarkers of the disease. Here, several HHT biomarkers and novel methodological approaches developed during the last years will be reviewed. On one hand, products detected in plasma or serum samples: soluble proteins (vascular endothelial growth factor, transforming growth factor β1, soluble endoglin, angiopoietin-2) and microRNA variants (miR-27a, miR-205, miR-210). On the other hand, differential HHT gene expression fingerprinting, next generation sequencing of a panel of genes involved in HHT, and infrared spectroscopy combined with artificial neural network patterns will also be reviewed. All these biomarkers might help to improve and refine HHT diagnosis by distinguishing from the non-HHT population.

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

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 24%
Student > Master 9 18%
Student > Doctoral Student 4 8%
Professor > Associate Professor 4 8%
Student > Postgraduate 3 6%
Other 7 14%
Unknown 12 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 27%
Agricultural and Biological Sciences 10 20%
Medicine and Dentistry 8 16%
Computer Science 2 4%
Engineering 2 4%
Other 4 8%
Unknown 11 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 October 2020.
All research outputs
#6,144,651
of 22,797,621 outputs
Outputs from Frontiers in Genetics
#1,791
of 11,761 outputs
Outputs of similar age
#72,231
of 264,714 outputs
Outputs of similar age from Frontiers in Genetics
#51
of 141 outputs
Altmetric has tracked 22,797,621 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 11,761 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 84% 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 264,714 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 72% of its contemporaries.
We're also able to compare this research output to 141 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 63% of its contemporaries.