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RNA-seq based SNPs for mapping in Brassica juncea (AABB): synteny analysis between the two constituent genomes A (from B. rapa) and B (from B. nigra) shows highly divergent gene block arrangement and…

Overview of attention for article published in BMC Genomics, May 2014
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Citations

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Title
RNA-seq based SNPs for mapping in Brassica juncea (AABB): synteny analysis between the two constituent genomes A (from B. rapa) and B (from B. nigra) shows highly divergent gene block arrangement and unique block fragmentation patterns
Published in
BMC Genomics, May 2014
DOI 10.1186/1471-2164-15-396
Pubmed ID
Authors

Kumar Paritosh, Vibha Gupta, Satish K Yadava, Priyansha Singh, Akshay K Pradhan, Deepak Pental

Abstract

Brassica juncea (AABB) is an allotetraploid species containing genomes of B. rapa (AA) and B. nigra (BB). It is a major oilseed crop in South Asia, and grown on approximately 6-7 million hectares of land in India during the winter season under dryland conditions. B. juncea has two well defined gene pools--Indian and east European. Hybrids between the two gene pools are heterotic for yield. A large number of qualitative and quantitative traits need to be introgressed from one gene pool into the other. This study explores the availability of SNPs in RNA-seq generated contigs, and their use for general mapping, fine mapping of selected regions, and comparative arrangement of gene blocks on B. juncea A and B genomes.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Netherlands 1 2%
China 1 2%
Unknown 47 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 30%
Student > Ph. D. Student 14 28%
Student > Bachelor 3 6%
Student > Doctoral Student 2 4%
Professor > Associate Professor 2 4%
Other 4 8%
Unknown 10 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 58%
Biochemistry, Genetics and Molecular Biology 6 12%
Environmental Science 1 2%
Medicine and Dentistry 1 2%
Unknown 13 26%
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 31 July 2014.
All research outputs
#14,781,203
of 22,756,196 outputs
Outputs from BMC Genomics
#6,125
of 10,637 outputs
Outputs of similar age
#126,740
of 226,329 outputs
Outputs of similar age from BMC Genomics
#91
of 196 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,637 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 226,329 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 196 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.