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Review of functional markers for improving cooking, eating, and the nutritional qualities of rice

Overview of attention for article published in Frontiers in Plant Science, October 2015
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Title
Review of functional markers for improving cooking, eating, and the nutritional qualities of rice
Published in
Frontiers in Plant Science, October 2015
DOI 10.3389/fpls.2015.00832
Pubmed ID
Authors

Wendy C. P. Lau, Mohd Y. Rafii, Mohd R. Ismail, Adam Puteh, Mohammad A. Latif, Asfaliza Ramli

Abstract

After yield, quality is one of the most important aspects of rice breeding. Preference for rice quality varies among cultures and regions; therefore, rice breeders have to tailor the quality according to the preferences of local consumers. Rice quality assessment requires routine chemical analysis procedures. The advancement of molecular marker technology has revolutionized the strategy in breeding programs. The availability of rice genome sequences and the use of forward and reverse genetics approaches facilitate gene discovery and the deciphering of gene functions. A well-characterized gene is the basis for the development of functional markers, which play an important role in plant genotyping and, in particular, marker-assisted breeding. In addition, functional markers offer advantages that counteract the limitations of random DNA markers. Some functional markers have been applied in marker-assisted breeding programs and have successfully improved rice quality to meet local consumers' preferences. Although functional markers offer a plethora of advantages over random genetic markers, the development and application of functional markers should be conducted with care. The decreasing cost of sequencing will enable more functional markers for rice quality improvement to be developed, and application of these markers in rice quality breeding programs is highly anticipated.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
India 1 1%
Unknown 95 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 21%
Student > Ph. D. Student 19 20%
Student > Master 10 10%
Student > Doctoral Student 5 5%
Student > Bachelor 4 4%
Other 10 10%
Unknown 29 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 47%
Biochemistry, Genetics and Molecular Biology 11 11%
Immunology and Microbiology 2 2%
Medicine and Dentistry 2 2%
Business, Management and Accounting 1 1%
Other 3 3%
Unknown 32 33%
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 14 October 2015.
All research outputs
#20,294,248
of 22,830,751 outputs
Outputs from Frontiers in Plant Science
#16,042
of 20,146 outputs
Outputs of similar age
#234,283
of 279,403 outputs
Outputs of similar age from Frontiers in Plant Science
#279
of 373 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,146 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 373 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.