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What Is New in Genetics of Congenital Heart Defects?

Overview of attention for article published in Frontiers in Pediatrics, December 2016
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  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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Citations

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33 Dimensions

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83 Mendeley
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Title
What Is New in Genetics of Congenital Heart Defects?
Published in
Frontiers in Pediatrics, December 2016
DOI 10.3389/fped.2016.00120
Pubmed ID
Authors

Maria Cristina Digilio, Bruno Marino

Abstract

Epidemiological studies, clinical observations, and advances in molecular genetics are contributing to the understanding of the etiology of congenital heart defects (CHDs). Several phenotype-genotype correlation studies have suggested that specific morphogenetic mechanisms put in motion by genes can result in a specific cardiac phenotype. The use of new technologies has increased the possibility of identification of new genes and chromosomal loci in syndromic and non-syndromic CHDs. There are a number of methods available for genetic research studies of CHDs, including cytogenetic analysis, linkage and association studies, copy number variation (CNV) and DNA micro-array analysis, and whole exome sequencing. The altered dosage of contiguous genes included inside CNVs can produce new syndromic CHDs, so that several different new genomic conditions have been identified. These include duplication 22q11.2 syndrome, distal 22q11.2 deletion syndrome, deletion and duplication 1q21.1, and deletion 1p36 syndrome. Molecular techniques such as whole exome sequencing have lead to the identification of new genes for monogenic syndromes with CHD, as for example in Adams-Oliver, Noonan, and Kabuki syndrome. The variable expressivity and reduced penetrance of CHDs in genetic syndromes is likely influenced by genetic factors, and several studies have been performed showing the involvement of modifier genes. It is not easy to define precisely the genetic defects underlying non-syndromic CHDs, due to the genetic and clinical heterogeneity of these malformations. Recent experimental studies have identified multiple CNVs contributing to non-syndromic CHD. The number of identified genes for non-syndromic CHDs is at this time limited, and each of the identified genes has been shown to be implicated only in a small proportion of CHD. The application of new technologies to specific cases of CHD and pedigrees with familial recurrence and filtering genes mapping in CNV regions can probably in the future add knowledge about new genes for non-syndromic CHDs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 1 1%
Unknown 82 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 14%
Student > Ph. D. Student 10 12%
Student > Bachelor 9 11%
Student > Master 9 11%
Student > Doctoral Student 7 8%
Other 17 20%
Unknown 19 23%
Readers by discipline Count As %
Medicine and Dentistry 32 39%
Biochemistry, Genetics and Molecular Biology 18 22%
Agricultural and Biological Sciences 5 6%
Linguistics 2 2%
Social Sciences 2 2%
Other 6 7%
Unknown 18 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 June 2019.
All research outputs
#6,159,147
of 24,598,501 outputs
Outputs from Frontiers in Pediatrics
#1,023
of 7,254 outputs
Outputs of similar age
#104,946
of 426,259 outputs
Outputs of similar age from Frontiers in Pediatrics
#6
of 33 outputs
Altmetric has tracked 24,598,501 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,254 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 85% 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 426,259 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 75% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.