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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterization of Linkage Disequilibrium and Population Structure in a Mungbean Diversity Panel
|
|---|---|
| Published in |
Frontiers in Plant Science, January 2018
|
| DOI | 10.3389/fpls.2017.02102 |
| Pubmed ID | |
| Authors |
Thomas J. Noble, Yongfu Tao, Emma S. Mace, Brett Williams, David R. Jordan, Colin A. Douglas, Sagadevan G. Mundree |
| Abstract |
Mungbean [Vigna radiata (L.) R. Wilczek var. radiata] is an important grain legume globally, providing a high-quality plant protein source largely produced and consumed in South and East Asia. This study aimed to characterize a mungbean diversity panel consisting of 466 cultivated accessions and demonstrate its utility by conducting a pilot genome-wide association study of seed coat color. In addition 16 wild accessions were genotyped for comparison and in total over 22,000 polymorphic genome-wide SNPs were identified and used to analyze the genetic diversity, population structure, linkage disequilibrium (LD) of mungbean. Polymorphism was lower in the cultivated accessions in comparison to the wild accessions, with average polymorphism information content values 0.174, versus 0.305 in wild mungbean. LD decayed in ∼100 kb in cultivated lines, a distance higher than the linkage decay of ∼60 kb estimated in wild mungbean. Four distinct subgroups were identified within the cultivated lines, which broadly corresponded to geographic origin and seed characteristics. In a pilot genome-wide association mapping study of seed coat color, five genomic regions associated were identified, two of which were close to seed coat color genes in other species. This mungbean diversity panel constitutes a valuable resource for genetic dissection of important agronomical traits to accelerate mungbean breeding. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 5 | 50% |
| Switzerland | 1 | 10% |
| United States | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 25% |
| Researcher | 12 | 18% |
| Student > Master | 8 | 12% |
| Student > Doctoral Student | 6 | 9% |
| Student > Bachelor | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 16 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 51% |
| Biochemistry, Genetics and Molecular Biology | 8 | 12% |
| Environmental Science | 3 | 4% |
| Computer Science | 2 | 3% |
| Unspecified | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 16 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 01 May 2018.
All research outputs
#4,219,288
of 23,016,919 outputs
Outputs from Frontiers in Plant Science
#2,261
of 20,529 outputs
Outputs of similar age
#93,532
of 443,072 outputs
Outputs of similar age from Frontiers in Plant Science
#66
of 444 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,529 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 88% 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 443,072 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 78% of its contemporaries.
We're also able to compare this research output to 444 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.