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Genomic resources in mungbean for future breeding programs

Overview of attention for article published in Frontiers in Plant Science, August 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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Title
Genomic resources in mungbean for future breeding programs
Published in
Frontiers in Plant Science, August 2015
DOI 10.3389/fpls.2015.00626
Pubmed ID
Authors

Sue K. Kim, Ramakrishnan M. Nair, Jayern Lee, Suk-Ha Lee

Abstract

Among the legume family, mungbean (Vigna radiata) has become one of the important crops in Asia, showing a steady increase in global production. It provides a good source of protein and contains most notably folate and iron. Beyond the nutritional value of mungbean, certain features make it a well-suited model organism among legume plants because of its small genome size, short life-cycle, self-pollinating, and close genetic relationship to other legumes. In the past, there have been several efforts to develop molecular markers and linkage maps associated with agronomic traits for the genetic improvement of mungbean and, ultimately, breeding for cultivar development to increase the average yields of mungbean. The recent release of a reference genome of the cultivated mungbean (V. radiata var. radiata VC1973A) and an additional de novo sequencing of a wild relative mungbean (V. radiata var. sublobata) has provided a framework for mungbean genetic and genome research, that can further be used for genome-wide association and functional studies to identify genes related to specific agronomic traits. Moreover, the diverse gene pool of wild mungbean comprises valuable genetic resources of beneficial genes that may be helpful in widening the genetic diversity of cultivated mungbean. This review paper covers the research progress on molecular and genomics approaches and the current status of breeding programs that have developed to move toward the ultimate goal of mungbean improvement.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 159 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 19%
Student > Ph. D. Student 24 15%
Student > Master 18 11%
Student > Bachelor 12 8%
Other 11 7%
Other 21 13%
Unknown 43 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 67 42%
Biochemistry, Genetics and Molecular Biology 28 18%
Chemistry 6 4%
Computer Science 2 1%
Business, Management and Accounting 1 <1%
Other 7 4%
Unknown 49 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 26 October 2015.
All research outputs
#2,768,359
of 22,821,814 outputs
Outputs from Frontiers in Plant Science
#1,294
of 20,118 outputs
Outputs of similar age
#37,178
of 264,288 outputs
Outputs of similar age from Frontiers in Plant Science
#9
of 292 outputs
Altmetric has tracked 22,821,814 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,118 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 93% 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 264,288 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 85% of its contemporaries.
We're also able to compare this research output to 292 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 96% of its contemporaries.