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High resolution melting: improvements in the genetic diagnosis of hypertrophic cardiomyopathy in a Portuguese cohort

Overview of attention for article published in BMC Medical Genomics, March 2012
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Title
High resolution melting: improvements in the genetic diagnosis of hypertrophic cardiomyopathy in a Portuguese cohort
Published in
BMC Medical Genomics, March 2012
DOI 10.1186/1471-2350-13-17
Pubmed ID
Authors

Susana Santos, Vanda Marques, Marina Pires, Leonor Silveira, Helena Oliveira, Vasco Lança, Dulce Brito, Hugo Madeira, J Fonseca Esteves, António Freitas, Isabel M Carreira, Isabel M Gaspar, Carolino Monteiro, Alexandra R Fernandes

Abstract

Hypertrophic Cardiomyopathy (HCM) is a complex myocardial disorder with a recognized genetic heterogeneity. The elevated number of genes and mutations involved in HCM limits a gene-based diagnosis that should be considered of most importance for basic research and clinical medicine.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Poland 1 1%
Germany 1 1%
Unknown 82 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 17 20%
Student > Ph. D. Student 14 16%
Student > Master 10 12%
Researcher 8 9%
Other 7 8%
Other 13 15%
Unknown 16 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 29%
Biochemistry, Genetics and Molecular Biology 16 19%
Medicine and Dentistry 11 13%
Chemistry 5 6%
Immunology and Microbiology 2 2%
Other 9 11%
Unknown 17 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 20 March 2012.
All research outputs
#20,653,708
of 25,371,288 outputs
Outputs from BMC Medical Genomics
#1,682
of 2,444 outputs
Outputs of similar age
#134,382
of 171,741 outputs
Outputs of similar age from BMC Medical Genomics
#15
of 20 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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 171,741 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.