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Mendeley readers
Attention Score in Context
| Chapter title |
Mapping of T-DNA and Ac/Ds by TAIL-PCR to Analyze Chromosomal Rearrangements
|
|---|---|
| Chapter number | 17 |
| Book title |
Chromosome and Genomic Engineering in Plants
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-4931-1_17 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-4929-8, 978-1-4939-4931-1
|
| Authors |
Satoru Fujimoto, Sachihiro Matsunaga, Minoru Murata |
| Abstract |
Insertion mutagenesis using known DNA sequences such as T-DNA and transposons is an important tool for studies on gene function in plant sciences. The transposons Activator (Ac)/Dissociation (Ds) have been systematically used to manipulate plant chromosomes. For both of these applications, the recovery of genomic DNA sequences flanking the insertions is required to estimate the sizes and/or scales of the reconstituted chromosomes. In this chapter, we describe the protocols for thermal asymmetric interlaced PCR (TAIL-PCR) for isolation of genomic sequences flanking DNA inserts in plant genomes. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 50% |
| Unknown | 1 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 1 | 50% |
| Unknown | 1 | 50% |
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 30 December 2017.
All research outputs
#18,581,651
of 23,015,156 outputs
Outputs from Methods in molecular biology
#7,962
of 13,156 outputs
Outputs of similar age
#285,659
of 394,707 outputs
Outputs of similar age from Methods in molecular biology
#845
of 1,471 outputs
Altmetric has tracked 23,015,156 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 13,156 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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