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Mendeley readers
Attention Score in Context
Title |
A direct comparison of next generation sequencing enrichment methods using an aortopathy gene panel- clinical diagnostics perspective
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Published in |
BMC Medical Genomics, November 2012
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DOI | 10.1186/1755-8794-5-50 |
Pubmed ID | |
Authors |
Whitney L Wooderchak-Donahue, Brendan O’Fallon, Larissa V Furtado, Jacob D Durtschi, Parker Plant, Perry G Ridge, Alan F Rope, Angela T Yetman, Pinar Bayrak-Toydemir |
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. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Peru | 1 | 33% |
United Kingdom | 1 | 33% |
United States | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 3% |
Ghana | 1 | 1% |
South Africa | 1 | 1% |
Brazil | 1 | 1% |
Spain | 1 | 1% |
United States | 1 | 1% |
Unknown | 73 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 25% |
Researcher | 20 | 25% |
Other | 12 | 15% |
Student > Master | 6 | 8% |
Professor > Associate Professor | 5 | 6% |
Other | 10 | 13% |
Unknown | 7 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 38 | 48% |
Medicine and Dentistry | 19 | 24% |
Biochemistry, Genetics and Molecular Biology | 13 | 16% |
Computer Science | 2 | 3% |
Chemistry | 1 | 1% |
Other | 0 | 0% |
Unknown | 7 | 9% |
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
#13,674,872
of 22,685,926 outputs
Outputs from BMC Medical Genomics
#525
of 1,213 outputs
Outputs of similar age
#99,678
of 179,003 outputs
Outputs of similar age from BMC Medical Genomics
#9
of 19 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,213 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 56% 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 179,003 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.