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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Efficient, Antibiotic Marker-Free Transformation of a Dicot and a Monocot Crop with Glutamate 1-Semialdehyde Aminotransferase Selectable Marker Genes.
|
|---|---|
| Chapter number | 6 |
| Book title |
Recombinant Proteins from Plants
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3289-4_6 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3288-7, 978-1-4939-3289-4
|
| Authors |
Ferradini, Nicoletta, Giancaspro, Angelica, Nicolia, Alessandro, Gadaleta, Agata, Veronesi, Fabio, Rosellini, Daniele, Nicoletta Ferradini, Angelica Giancaspro, Alessandro Nicolia, Agata Gadaleta, Fabio Veronesi, Daniele Rosellini |
| Abstract |
Antibiotic-free, efficient in vitro selection in plant genetic engineering can improve risk perception and speed up pre-market scrutiny of genetically modified crops. We provide a protocol for genetic transformation of two important crops, durum wheat and alfalfa, using a bacterial and a plant-derived selectable marker gene encoding mutated, gabaculine-insensitive glutamate 1-semialdehyde aminotransferase (GSA) enzymes. These methods can potentially be applied, with minor adaptations, to many other monocot and dicot crop plants. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 14% |
| Unknown | 6 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 57% |
| Other | 1 | 14% |
| Researcher | 1 | 14% |
| Unknown | 1 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 43% |
| Biochemistry, Genetics and Molecular Biology | 1 | 14% |
| Business, Management and Accounting | 1 | 14% |
| Medicine and Dentistry | 1 | 14% |
| Unknown | 1 | 14% |
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 29 November 2015.
All research outputs
#18,431,664
of 22,834,308 outputs
Outputs from Methods in molecular biology
#7,920
of 13,126 outputs
Outputs of similar age
#284,439
of 393,581 outputs
Outputs of similar age from Methods in molecular biology
#846
of 1,470 outputs
Altmetric has tracked 22,834,308 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 13,126 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.
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 393,581 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,470 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.