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Characterization of whole genome amplified (WGA) DNA for use in genotyping assay development

Overview of attention for article published in BMC Genomics, January 2012
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1 tweeter

Citations

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72 Mendeley
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Title
Characterization of whole genome amplified (WGA) DNA for use in genotyping assay development
Published in
BMC Genomics, January 2012
DOI 10.1186/1471-2164-13-217
Pubmed ID
Authors

Tao Han, Ching-Wei Chang, Joshua C Kwekel, Ying Chen, Yun Ge, Francisco Martinez-Murillo, Donna Roscoe, Živana Težak, Reena Philip, Karen Bijwaard, James C Fuscoe

Abstract

Genotyping assays often require substantial amounts of DNA. To overcome the problem of limiting amounts of available DNA, Whole Genome Amplification (WGA) methods have been developed. The multiple displacement amplification (MDA) method using Φ29 polymerase has become the preferred choice due to its high processivity and low error rate. However, the uniformity and fidelity of the amplification process across the genome has not been extensively characterized.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 3%
United Kingdom 2 3%
Taiwan 1 1%
China 1 1%
Sweden 1 1%
United States 1 1%
Unknown 64 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 36%
Student > Ph. D. Student 19 26%
Student > Master 8 11%
Student > Postgraduate 5 7%
Student > Bachelor 3 4%
Other 5 7%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 57%
Biochemistry, Genetics and Molecular Biology 13 18%
Medicine and Dentistry 4 6%
Computer Science 1 1%
Earth and Planetary Sciences 1 1%
Other 3 4%
Unknown 9 13%

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 07 June 2012.
All research outputs
#9,906,314
of 12,373,620 outputs
Outputs from BMC Genomics
#5,684
of 7,313 outputs
Outputs of similar age
#86,148
of 120,507 outputs
Outputs of similar age from BMC Genomics
#42
of 58 outputs
Altmetric has tracked 12,373,620 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,313 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 12th percentile – i.e., 12% 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 120,507 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.