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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
DNA extraction from vegetative tissue for next-generation sequencing.
|
|---|---|
| Chapter number | 1 |
| Book title |
Cereal Genomics
|
| Published in |
Methods in molecular biology, January 2014
|
| DOI | 10.1007/978-1-62703-715-0_1 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-714-3, 978-1-62703-715-0
|
| Authors |
Agnelo Furtado, Furtado, Agnelo |
| Abstract |
The quality of extracted DNA is crucial for several applications in molecular biology. If the DNA is to be used for next-generation sequencing (NGS), then microgram quantities of good-quality DNA is required. In addition, the DNA must substantially be of high molecular weight so that it can be used for library preparation and NGS sequencing. Contaminating phenol or starch in the isolated DNA can be easily removed by filtration through kit-based cartridges. In this chapter we describe a simple two-reagent DNA extraction protocol which yields a high quality and quantity of DNA which can be used for different applications including NGS. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 3 | 15% |
| Student > Bachelor | 2 | 10% |
| Professor | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Student > Master | 2 | 10% |
| Other | 3 | 15% |
| Unknown | 6 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 40% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Environmental Science | 1 | 5% |
| Computer Science | 1 | 5% |
| Immunology and Microbiology | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 5 | 25% |
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 19 November 2013.
All research outputs
#18,354,532
of 22,731,677 outputs
Outputs from Methods in molecular biology
#7,855
of 13,086 outputs
Outputs of similar age
#229,301
of 305,170 outputs
Outputs of similar age from Methods in molecular biology
#293
of 594 outputs
Altmetric has tracked 22,731,677 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 13,086 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% 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 305,170 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 594 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.