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RNA-seq based SNPs in some agronomically important oleiferous lines of Brassica rapaand their use for genome-wide linkage mapping and specific-region fine mapping

Overview of attention for article published in BMC Genomics, July 2013
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Title
RNA-seq based SNPs in some agronomically important oleiferous lines of Brassica rapaand their use for genome-wide linkage mapping and specific-region fine mapping
Published in
BMC Genomics, July 2013
DOI 10.1186/1471-2164-14-463
Pubmed ID
Authors

Kumar Paritosh, Satish K Yadava, Vibha Gupta, Priya Panjabi-Massand, Yashpal S Sodhi, Akshay K Pradhan, Deepak Pental

Abstract

Brassica rapa (AA) contains very diverse forms which include oleiferous types and many vegetable types. Genome sequence of B. rapa line Chiifu (ssp. pekinensis), a leafy vegetable type, was published in 2011. Using this knowledge, it is important to develop genomic resources for the oleiferous types of B. rapa. This will allow more involved molecular mapping, in-depth study of molecular mechanisms underlying important agronomic traits and introgression of traits from B. rapa to major oilseed crops - B. juncea (AABB) and B. napus (AACC). The study explores the availability of SNPs in RNA-seq generated contigs of three oleiferous lines of B. rapa - Candle (ssp. oleifera, turnip rape), YSPB-24 and Tetra (ssp. trilocularis, Yellow sarson) and their use in genome-wide linkage mapping and specific-region fine mapping using a RIL population between Chiifu and Tetra.

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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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
United States 1 1%
Brazil 1 1%
Unknown 66 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 33%
Researcher 22 31%
Student > Master 7 10%
Student > Bachelor 3 4%
Professor > Associate Professor 3 4%
Other 4 6%
Unknown 8 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 69%
Biochemistry, Genetics and Molecular Biology 7 10%
Engineering 2 3%
Immunology and Microbiology 2 3%
Nursing and Health Professions 1 1%
Other 2 3%
Unknown 8 11%
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 23 October 2014.
All research outputs
#13,901,936
of 23,577,654 outputs
Outputs from BMC Genomics
#5,121
of 10,777 outputs
Outputs of similar age
#104,264
of 195,778 outputs
Outputs of similar age from BMC Genomics
#57
of 123 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,777 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 49th percentile – i.e., 49% 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 195,778 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.