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3 X users

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mendeley
91 Mendeley
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Article details
Title
Application of in silico bulked segregant analysis for rapid development of markers linked to Bean common mosaic virusresistance in common bean
Published in
BMC Genomics, October 2014
DOI 10.1186/1471-2164-15-903
Pubmed ID
Authors
Abstract

Common bean was one of the first crops that benefited from the development and utilization of molecular marker-assisted selection (MAS) for major disease resistance genes. Efficiency of MAS for breeding common bean is still hampered, however, due to the dominance, linkage phase, and loose linkage of previously developed markers. Here we applied in silico bulked segregant analysis (BSA) to the BeanCAP diversity panel, composed of over 500 lines and genotyped with the BARCBEAN_3 6K SNP BeadChip, to develop codominant and tightly linked markers to the I gene controlling resistance to Bean common mosaic virus (BCMV).

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Netherlands 1 1%
Kenya 1 1%
Italy 1 1%
Indonesia 1 1%
Spain 1 1%
Unknown 86 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 21 23%
Student > Ph. D. Student 16 18%
Student > Master 13 14%
Student > Doctoral Student 8 9%
Student > Bachelor 6 7%
Other 9 10%
Unknown 18 20%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 63 69%
Biochemistry, Genetics and Molecular Biology 7 8%
Earth and Planetary Sciences 1 1%
Social Sciences 1 1%
Medicine and Dentistry 1 1%
Other 0 0%
Unknown 18 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 December 2014.
All research outputs
#17,296,085
of 26,184,649 outputs
Outputs from BMC Genomics
#6,712
of 11,415 outputs
Outputs of similar age
#155,960
of 269,947 outputs
Outputs of similar age from BMC Genomics
#164
of 292 outputs
Altmetric has tracked 26,184,649 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,415 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 269,947 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
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 is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.