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SHROOM3 is a novel candidate for heterotaxy identified by whole exome sequencing

Overview of attention for article published in Genome Biology, September 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
facebook
3 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
104 Mendeley
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Title
SHROOM3 is a novel candidate for heterotaxy identified by whole exome sequencing
Published in
Genome Biology, September 2011
DOI 10.1186/gb-2011-12-9-r91
Pubmed ID
Authors

Muhammad Tariq, John W Belmont, Seema Lalani, Teresa Smolarek, Stephanie M Ware

Abstract

Heterotaxy-spectrum cardiovascular disorders are challenging for traditional genetic analyses because of clinical and genetic heterogeneity, variable expressivity, and non-penetrance. In this study, high-resolution SNP genotyping and exon-targeted array comparative genomic hybridization platforms were coupled to whole-exome sequencing to identify a novel disease candidate gene.

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

Geographical breakdown

Country Count As %
United States 2 2%
India 2 2%
Germany 1 <1%
Hong Kong 1 <1%
Belgium 1 <1%
United Kingdom 1 <1%
Unknown 96 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 29%
Student > Master 13 13%
Student > Ph. D. Student 12 12%
Other 7 7%
Student > Doctoral Student 5 5%
Other 20 19%
Unknown 17 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 36%
Biochemistry, Genetics and Molecular Biology 19 18%
Medicine and Dentistry 14 13%
Computer Science 4 4%
Unspecified 3 3%
Other 10 10%
Unknown 17 16%
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 11 January 2013.
All research outputs
#6,929,388
of 25,371,288 outputs
Outputs from Genome Biology
#3,196
of 4,467 outputs
Outputs of similar age
#39,093
of 141,246 outputs
Outputs of similar age from Genome Biology
#29
of 46 outputs
Altmetric has tracked 25,371,288 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 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 28th percentile – i.e., 28% 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 141,246 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 46 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.