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High-resolution melting analysis coupled with next-generation sequencing as a simple tool for the identification of a novel somatic BRCA2 variant: a case report

Overview of attention for article published in Human Genome Variation, June 2018
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12 Mendeley
Title
High-resolution melting analysis coupled with next-generation sequencing as a simple tool for the identification of a novel somatic BRCA2 variant: a case report
Published in
Human Genome Variation, June 2018
DOI 10.1038/s41439-018-0006-x
Pubmed ID
Authors

Alessandra Costella, Rossella De Leo, Donatella Guarino, Marco D’Indinosante, Paola Concolino, Giorgia Mazzuccato, Andrea Urbani, Giovanni Scambia, Ettore Capoluongo, Anna Fagotti, Angelo Minucci

Abstract

In a 72-year-old woman with no associated personal or family history of breast and/or ovarian cancers, we identified a novel somatic pathogenic BRCA2 variant (c.18_28delAGAGAGGCCAA, p.Lys6Asnfs*4) using next-generation sequencing (NGS). The variant allele frequency (VAF) was 16%, and Sanger sequencing was unable to identify this variant. Adopting a high-resolution melting analysis strategy coupled with NGS, we successfully highlighted the presence of the c.18_28delAGAGAGGCCAA allele.

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

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 17%
Other 1 8%
Researcher 1 8%
Professor > Associate Professor 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 6 50%
Readers by discipline Count As %
Medicine and Dentistry 2 17%
Biochemistry, Genetics and Molecular Biology 1 8%
Psychology 1 8%
Business, Management and Accounting 1 8%
Unknown 7 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 June 2018.
All research outputs
#15,009,334
of 23,090,520 outputs
Outputs from Human Genome Variation
#73
of 200 outputs
Outputs of similar age
#198,206
of 328,957 outputs
Outputs of similar age from Human Genome Variation
#1
of 8 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 200 research outputs from this source. They receive a mean Attention Score of 2.9. This one has gotten more attention than average, scoring higher than 58% 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 328,957 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them