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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Less is more: strategies to remove marker genes from transgenic plants
|
|---|---|
| Published in |
BMC Biotechnology, April 2013
|
| DOI | 10.1186/1472-6750-13-36 |
| Pubmed ID | |
| Authors |
Yuan-Yeu Yau, C Neal Stewart |
| Abstract |
Selectable marker genes (SMGs) and selection agents are useful tools in the production of transgenic plants by selecting transformed cells from a matrix consisting of mostly untransformed cells. Most SMGs express protein products that confer antibiotic- or herbicide resistance traits, and typically reside in the end product of genetically-modified (GM) plants. The presence of these genes in GM plants, and subsequently in food, feed and the environment, are of concern and subject to special government regulation in many countries. The presence of SMGs in GM plants might also, in some cases, result in a metabolic burden for the host plants. Their use also prevents the re-use of the same SMG when a second transformation scheme is needed to be performed on the transgenic host. In recent years, several strategies have been developed to remove SMGs from GM products while retaining the transgenes of interest. This review describes the existing strategies for SMG removal, including the implementation of site specific recombination systems, TALENs and ZFNs. This review discusses the advantages and disadvantages of existing SMG-removal strategies and explores possible future research directions for SMG removal including emerging technologies for increased precision for genome modification. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Argentina | 3 | 2% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| Netherlands | 1 | <1% |
| Peru | 1 | <1% |
| India | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 179 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 43 | 23% |
| Student > Ph. D. Student | 38 | 20% |
| Student > Master | 27 | 14% |
| Student > Bachelor | 19 | 10% |
| Other | 9 | 5% |
| Other | 23 | 12% |
| Unknown | 30 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 94 | 50% |
| Biochemistry, Genetics and Molecular Biology | 40 | 21% |
| Chemistry | 2 | 1% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 1% |
| Computer Science | 1 | <1% |
| Other | 10 | 5% |
| Unknown | 40 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 September 2023.
All research outputs
#1,919,910
of 24,535,155 outputs
Outputs from BMC Biotechnology
#32
of 964 outputs
Outputs of similar age
#15,565
of 198,887 outputs
Outputs of similar age from BMC Biotechnology
#1
of 18 outputs
Altmetric has tracked 24,535,155 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 964 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 96% of its peers.
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 198,887 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.