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Emerging Genomic Tools for Legume Breeding: Current Status and Future Prospects

Overview of attention for article published in Frontiers in Plant Science, May 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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6 Facebook pages

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180 Dimensions

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179 Mendeley
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Title
Emerging Genomic Tools for Legume Breeding: Current Status and Future Prospects
Published in
Frontiers in Plant Science, May 2016
DOI 10.3389/fpls.2016.00455
Pubmed ID
Authors

Manish K. Pandey, Manish Roorkiwal, Vikas K. Singh, Abirami Ramalingam, Himabindu Kudapa, Mahendar Thudi, Anu Chitikineni, Abhishek Rathore, Rajeev K. Varshney

Abstract

Legumes play a vital role in ensuring global nutritional food security and improving soil quality through nitrogen fixation. Accelerated higher genetic gains is required to meet the demand of ever increasing global population. In recent years, speedy developments have been witnessed in legume genomics due to advancements in next-generation sequencing (NGS) and high-throughput genotyping technologies. Reference genome sequences for many legume crops have been reported in the last 5 years. The availability of the draft genome sequences and re-sequencing of elite genotypes for several important legume crops have made it possible to identify structural variations at large scale. Availability of large-scale genomic resources and low-cost and high-throughput genotyping technologies are enhancing the efficiency and resolution of genetic mapping and marker-trait association studies. Most importantly, deployment of molecular breeding approaches has resulted in development of improved lines in some legume crops such as chickpea and groundnut. In order to support genomics-driven crop improvement at a fast pace, the deployment of breeder-friendly genomics and decision support tools seems appear to be critical in breeding programs in developing countries. This review provides an overview of emerging genomics and informatics tools/approaches that will be the key driving force for accelerating genomics-assisted breeding and ultimately ensuring nutritional and food security in developing countries.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 1%
Unknown 177 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 22%
Researcher 37 21%
Student > Master 18 10%
Student > Doctoral Student 12 7%
Student > Bachelor 7 4%
Other 27 15%
Unknown 38 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 106 59%
Biochemistry, Genetics and Molecular Biology 16 9%
Environmental Science 3 2%
Medicine and Dentistry 3 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 <1%
Other 4 2%
Unknown 46 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 November 2017.
All research outputs
#12,759,730
of 22,867,327 outputs
Outputs from Frontiers in Plant Science
#5,206
of 20,241 outputs
Outputs of similar age
#133,907
of 298,446 outputs
Outputs of similar age from Frontiers in Plant Science
#100
of 514 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,241 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 73% 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 298,446 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 54% of its contemporaries.
We're also able to compare this research output to 514 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.