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A direct comparison of next generation sequencing enrichment methods using an aortopathy gene ganel- clinical diagnostics perspective

Overview of attention for article published in BMC Medical Genomics, November 2012
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
73 Mendeley
citeulike
2 CiteULike
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Title
A direct comparison of next generation sequencing enrichment methods using an aortopathy gene ganel- clinical diagnostics perspective
Published in
BMC Medical Genomics, November 2012
DOI 10.1186/1755-8794-5-50
Pubmed ID
Abstract

Aortopathies are a group of disorders characterized by aneurysms, dilation, and tortuosity of the aorta. Because of the phenotypic overlap and genetic heterogeneity of diseases featuring aortopathy, molecular testing is often required for timely and correct diagnosis of affected individuals. In this setting next generation sequencing (NGS) offers several advantages over traditional molecular techniques.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
South Africa 1 1%
Brazil 1 1%
Ghana 1 1%
Spain 1 1%
United States 1 1%
Unknown 66 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 26%
Researcher 18 25%
Other 12 16%
Student > Master 6 8%
Professor > Associate Professor 5 7%
Other 9 12%
Unknown 4 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 53%
Medicine and Dentistry 17 23%
Biochemistry, Genetics and Molecular Biology 10 14%
Computer Science 2 3%
Chemistry 1 1%
Other 0 0%
Unknown 4 5%

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 08 March 2013.
All research outputs
#8,722,467
of 15,481,305 outputs
Outputs from BMC Medical Genomics
#387
of 806 outputs
Outputs of similar age
#74,044
of 151,869 outputs
Outputs of similar age from BMC Medical Genomics
#18
of 41 outputs
Altmetric has tracked 15,481,305 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 806 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 50% 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 151,869 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 50% of its contemporaries.
We're also able to compare this research output to 41 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 53% of its contemporaries.