| Title |
Rice Improvement Through Genome-Based Functional Analysis and Molecular Breeding in India
|
|---|---|
| Published in |
Rice, January 2016
|
| DOI | 10.1186/s12284-015-0073-2 |
| Pubmed ID | |
| Authors |
Pinky Agarwal, Swarup K. Parida, Saurabh Raghuvanshi, Sanjay Kapoor, Paramjit Khurana, Jitendra P. Khurana, Akhilesh K. Tyagi |
| Abstract |
Rice is one of the main pillars of food security in India. Its improvement for higher yield in sustainable agriculture system is also vital to provide energy and nutritional needs of growing world population, expected to reach more than 9 billion by 2050. The high quality genome sequence of rice has provided a rich resource to mine information about diversity of genes and alleles which can contribute to improvement of useful agronomic traits. Defining the function of each gene and regulatory element of rice remains a challenge for the rice community in the coming years. Subsequent to participation in IRGSP, India has continued to contribute in the areas of diversity analysis, transcriptomics, functional genomics, marker development, QTL mapping and molecular breeding, through national and multi-national research programs. These efforts have helped generate resources for rice improvement, some of which have already been deployed to mitigate loss due to environmental stress and pathogens. With renewed efforts, Indian researchers are making new strides, along with the international scientific community, in both basic research and realization of its translational impact. |
Mendeley readers
The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | <1% |
| Unknown | 120 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 28% |
| Researcher | 20 | 17% |
| Student > Bachelor | 9 | 7% |
| Student > Master | 8 | 7% |
| Student > Postgraduate | 5 | 4% |
| Other | 17 | 14% |
| Unknown | 28 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 52 | 43% |
| Biochemistry, Genetics and Molecular Biology | 20 | 17% |
| Computer Science | 5 | 4% |
| Nursing and Health Professions | 2 | 2% |
| Medicine and Dentistry | 2 | 2% |
| Other | 8 | 7% |
| Unknown | 32 | 26% |
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 19 April 2017.
All research outputs
#5,935,398
of 22,965,074 outputs
Outputs from Rice
#61
of 388 outputs
Outputs of similar age
#94,242
of 394,504 outputs
Outputs of similar age from Rice
#2
of 11 outputs
Altmetric has tracked 22,965,074 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 388 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 83% 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 394,504 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.