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Comparative mapping of Brassica juncea and Arabidopsis thaliana using Intron Polymorphism (IP) markers: homoeologous relationships, diversification and evolution of the A, B and C Brassica genomes

Overview of attention for article published in BMC Genomics, March 2008
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Title
Comparative mapping of Brassica juncea and Arabidopsis thaliana using Intron Polymorphism (IP) markers: homoeologous relationships, diversification and evolution of the A, B and C Brassica genomes
Published in
BMC Genomics, March 2008
DOI 10.1186/1471-2164-9-113
Pubmed ID
Authors

Priya Panjabi, Arun Jagannath, Naveen C Bisht, K Lakshmi Padmaja, Sarita Sharma, Vibha Gupta, Akshay K Pradhan, Deepak Pental

Abstract

Extensive mapping efforts are currently underway for the establishment of comparative genomics between the model plant, Arabidopsis thaliana and various Brassica species. Most of these studies have deployed RFLP markers, the use of which is a laborious and time-consuming process. We therefore tested the efficacy of PCR-based Intron Polymorphism (IP) markers to analyze genome-wide synteny between the oilseed crop, Brassica juncea (AABB genome) and A. thaliana and analyzed the arrangement of 24 (previously described) genomic block segments in the A, B and C Brassica genomes to study the evolutionary events contributing to karyotype variations in the three diploid Brassica genomes.

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The data shown below were collected from the profile of 1 X user 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 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 <1%
Australia 1 <1%
China 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 141 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 32%
Researcher 33 23%
Student > Master 13 9%
Student > Bachelor 8 5%
Professor > Associate Professor 6 4%
Other 14 10%
Unknown 26 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 92 63%
Biochemistry, Genetics and Molecular Biology 17 12%
Chemistry 3 2%
Arts and Humanities 1 <1%
Environmental Science 1 <1%
Other 1 <1%
Unknown 31 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 February 2014.
All research outputs
#15,293,290
of 22,743,667 outputs
Outputs from BMC Genomics
#6,672
of 10,633 outputs
Outputs of similar age
#67,842
of 79,735 outputs
Outputs of similar age from BMC Genomics
#21
of 23 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,633 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.