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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Biotechnological Advancements for Improving Floral Attributes in Ornamental Plants
|
|---|---|
| Published in |
Frontiers in Plant Science, April 2017
|
| DOI | 10.3389/fpls.2017.00530 |
| Pubmed ID | |
| Authors |
Ali Noman, Muhammad Aqeel, Jianming Deng, Noreen Khalid, Tayyaba Sanaullah, He Shuilin |
| Abstract |
Developing new ornamental cultivars with improved floral attributes is a major goal in floriculture. Biotechnological approach together with classical breeding methods has been used to modify floral color, appearance as well as for increasing disease resistance. Transgenic strategies possess immense potential to produce novel flower phenotypes that are not found in nature. Adoption of Genetic engineering has supported the idea of floral trait modification. Ornamental plant attributes like floral color, fragrance, disease resistance, and vase life can be improved by means of genetic manipulation. Therefore, we witness transgenic plant varieties of high aesthetic and commercial value. This review focuses on biotechnological advancements in manipulating key floral traits that contribute in development of diverse ornamental plant lines. Data clearly reveals that regulation of biosynthetic pathways related to characteristics like pigment production, flower morphology and fragrance is both possible and predictable. In spite of their great significance, small number of genetically engineered varieties of ornamental plants has been field tested. Today, novel flower colors production is regarded as chief commercial benefit obtained from transgenic plants. But certain other floral traits are much more important and have high commercial potential. Other than achievements such as novel architecture, modified flower color, etc., very few reports are available regarding successful transformation of other valuable horticultural characteristics. Our review also summarized biotechnological efforts related to enhancement of fragrance and induction of early flowering along with changes in floral anatomy and morphology. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 13% |
| Chile | 1 | 13% |
| Unknown | 6 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 63% |
| Members of the public | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | <1% |
| Netherlands | 1 | <1% |
| Unknown | 125 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 24 | 19% |
| Student > Master | 17 | 13% |
| Student > Ph. D. Student | 15 | 12% |
| Researcher | 14 | 11% |
| Student > Postgraduate | 5 | 4% |
| Other | 15 | 12% |
| Unknown | 37 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 49 | 39% |
| Biochemistry, Genetics and Molecular Biology | 26 | 20% |
| Engineering | 3 | 2% |
| Chemical Engineering | 2 | 2% |
| Nursing and Health Professions | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 41 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 21 May 2017.
All research outputs
#6,153,354
of 23,310,485 outputs
Outputs from Frontiers in Plant Science
#3,216
of 21,146 outputs
Outputs of similar age
#96,469
of 311,045 outputs
Outputs of similar age from Frontiers in Plant Science
#86
of 573 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 21,146 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 84% 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 311,045 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 573 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.