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Identification of fibrillin 1 gene mutations in patients with bicuspid aortic valve (BAV) without Marfan syndrome

Overview of attention for article published in BMC Medical Genomics, February 2014
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  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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Title
Identification of fibrillin 1 gene mutations in patients with bicuspid aortic valve (BAV) without Marfan syndrome
Published in
BMC Medical Genomics, February 2014
DOI 10.1186/1471-2350-15-23
Pubmed ID
Authors

Guglielmina Pepe, Stefano Nistri, Betti Giusti, Elena Sticchi, Monica Attanasio, Cristina Porciani, Rosanna Abbate, Robert O Bonow, Magdi Yacoub, Gian Franco Gensini

Abstract

Bicuspid aortic valve (BAV) is the most frequent congenital heart disease with frequent involvement in thoracic aortic dilatation, aneurysm and dissection. Although BAV and Marfan syndrome (MFS) share some clinical features, and some MFS patients with BAV display mutations in FBN1, the gene encoding fibrillin-1, the genetic background of isolated BAV is poorly defined.

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

Geographical breakdown

Country Count As %
United States 2 3%
Unknown 59 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 15%
Researcher 9 15%
Other 8 13%
Student > Master 7 11%
Student > Bachelor 5 8%
Other 15 25%
Unknown 8 13%
Readers by discipline Count As %
Medicine and Dentistry 26 43%
Biochemistry, Genetics and Molecular Biology 10 16%
Agricultural and Biological Sciences 9 15%
Engineering 3 5%
Social Sciences 1 2%
Other 1 2%
Unknown 11 18%
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 March 2015.
All research outputs
#15,517,992
of 25,374,647 outputs
Outputs from BMC Medical Genomics
#1,029
of 2,444 outputs
Outputs of similar age
#125,586
of 237,566 outputs
Outputs of similar age from BMC Medical Genomics
#10
of 26 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% 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 has gotten more attention than average, scoring higher than 57% 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 237,566 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 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 61% of its contemporaries.