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Emerging Paradigms in Genomics‐Based Crop Improvement

Overview of attention for article published in The Scientific World Journal, November 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source

Readers on

mendeley
112 Mendeley
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Article details
Title
Emerging Paradigms in Genomics‐Based Crop Improvement
Published in
The Scientific World Journal, November 2013
DOI 10.1155/2013/585467
Pubmed ID
Authors
Abstract

Next generation sequencing platforms and high-throughput genotyping assays have remarkably expedited the pace of development of genomic tools and resources for several crops. Complementing the technological developments, conceptual shifts have also been witnessed in designing experimental populations. Availability of second generation mapping populations encompassing multiple alleles, multiple traits, and extensive recombination events is radically changing the phenomenon of classical QTL mapping. Additionally, the rising molecular breeding approaches like marker assisted recurrent selection (MARS) that are able to harness several QTLs are of particular importance in obtaining a "designed" genotype carrying the most desirable combinations of favourable alleles. Furthermore, rapid generation of genome-wide marker data coupled with easy access to precise and accurate phenotypic screens enable large-scale exploitation of LD not only to discover novel QTLs via whole genome association scans but also to practise genomic estimated breeding value (GEBV)-based selection of genotypes. Given refinements being experienced in analytical methods and software tools, the multiparent populations will be the resource of choice to undertake genome wide association studies (GWAS), multiparent MARS, and genomic selection (GS). With this, it is envisioned that these high-throughput and high-power molecular breeding methods would greatly assist in exploiting the enormous potential underlying breeding by design approach to facilitate accelerated crop improvement.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 112 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 %
United States 1 <1%
Netherlands 1 <1%
Japan 1 <1%
Ethiopia 1 <1%
Cuba 1 <1%
Colombia 1 <1%
Switzerland 1 <1%
Unknown 105 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 40 36%
Student > Ph. D. Student 20 18%
Student > Master 11 10%
Student > Doctoral Student 7 6%
Student > Bachelor 5 4%
Other 18 16%
Unknown 11 10%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 80 71%
Biochemistry, Genetics and Molecular Biology 7 6%
Veterinary Science and Veterinary Medicine 1 <1%
Arts and Humanities 1 <1%
Linguistics 1 <1%
Other 4 4%
Unknown 18 16%
Attention Score in Context

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 28 October 2014.
All research outputs
#5,601,728
of 32,572,863 outputs
Outputs from The Scientific World Journal
#422
of 3,203 outputs
Outputs of similar age
#53,776
of 359,487 outputs
Outputs of similar age from The Scientific World Journal
#32
of 226 outputs
Altmetric has tracked 32,572,863 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,203 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 85% 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 359,487 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 84% of its contemporaries.
We're also able to compare this research output to 226 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.