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Title |
Measurement of absolute copy number variation reveals association with essential hypertension
|
---|---|
Published in |
BMC Medical Genomics, July 2014
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DOI | 10.1186/1755-8794-7-44 |
Pubmed ID | |
Authors |
Francine Z Marques, Priscilla R Prestes, Leonardo B Pinheiro, Katrina Scurrah, Kerry R Emslie, Maciej Tomaszewski, Stephen B Harrap, Fadi J Charchar |
Abstract |
The role of copy number variation (CNV) has been poorly explored in essential hypertension in part due to technical difficulties in accurately assessing absolute numbers of DNA copies. Droplet digital PCR (ddPCR) provides a powerful new approach to CNV quantitation. The aim of our study was to investigate whether CNVs located in regions previously associated with blood pressure (BP) variation in genome-wide association studies (GWAS) were associated with essential hypertension by the use of ddPCR. |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
United States | 1 | 2% |
Ireland | 1 | 2% |
Unknown | 40 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 11 | 26% |
Student > Bachelor | 6 | 14% |
Student > Ph. D. Student | 6 | 14% |
Researcher | 4 | 9% |
Other | 4 | 9% |
Other | 6 | 14% |
Unknown | 6 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 13 | 30% |
Medicine and Dentistry | 10 | 23% |
Biochemistry, Genetics and Molecular Biology | 7 | 16% |
Nursing and Health Professions | 1 | 2% |
Arts and Humanities | 1 | 2% |
Other | 4 | 9% |
Unknown | 7 | 16% |
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 17 July 2014.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Medical Genomics
#1,044
of 1,268 outputs
Outputs of similar age
#196,314
of 229,398 outputs
Outputs of similar age from BMC Medical Genomics
#14
of 14 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,268 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 229,398 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.