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A high throughput DNA extraction method with high yield and quality

Overview of attention for article published in Plant Methods, July 2012
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Citations

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149 Dimensions

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469 Mendeley
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1 CiteULike
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Title
A high throughput DNA extraction method with high yield and quality
Published in
Plant Methods, July 2012
DOI 10.1186/1746-4811-8-26
Pubmed ID
Authors

Zhanguo Xin, Junping Chen

Abstract

Preparation of large quantity and high quality genomic DNA from a large number of plant samples is a major bottleneck for most genetic and genomic analyses, such as, genetic mapping, TILLING (Targeting Induced Local Lesion IN Genome), and next-generation sequencing directly from sheared genomic DNA. A variety of DNA preparation methods and commercial kits are available. However, they are either low throughput, low yield, or costly. Here, we describe a method for high throughput genomic DNA isolation from sorghum [Sorghum bicolor (L.) Moench] leaves and dry seeds with high yield, high quality, and affordable cost.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 469 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 <1%
United States 4 <1%
Japan 2 <1%
Netherlands 1 <1%
Kenya 1 <1%
Sweden 1 <1%
India 1 <1%
Canada 1 <1%
Portugal 1 <1%
Other 4 <1%
Unknown 449 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 98 21%
Student > Ph. D. Student 86 18%
Student > Master 72 15%
Student > Bachelor 64 14%
Student > Doctoral Student 17 4%
Other 49 10%
Unknown 83 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 243 52%
Biochemistry, Genetics and Molecular Biology 78 17%
Engineering 12 3%
Environmental Science 10 2%
Social Sciences 6 1%
Other 23 5%
Unknown 97 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 August 2012.
All research outputs
#14,536,007
of 25,373,627 outputs
Outputs from Plant Methods
#640
of 1,262 outputs
Outputs of similar age
#99,754
of 178,801 outputs
Outputs of similar age from Plant Methods
#7
of 10 outputs
Altmetric has tracked 25,373,627 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 1,262 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 48th percentile – i.e., 48% 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 178,801 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.