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Diversity of Global Rice Markets and the Science Required for Consumer-Targeted Rice Breeding

Overview of attention for article published in PLOS ONE, January 2014
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
twitter
13 X users
facebook
3 Facebook pages
googleplus
1 Google+ user

Citations

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233 Dimensions

Readers on

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258 Mendeley
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Title
Diversity of Global Rice Markets and the Science Required for Consumer-Targeted Rice Breeding
Published in
PLOS ONE, January 2014
DOI 10.1371/journal.pone.0085106
Pubmed ID
Authors

Mariafe Calingacion, Alice Laborte, Andrew Nelson, Adoracion Resurreccion, Jeanaflor Crystal Concepcion, Venea Dara Daygon, Roland Mumm, Russell Reinke, Sharifa Dipti, Priscila Zaczuk Bassinello, John Manful, Sakhan Sophany, Karla Cordero Lara, Jinsong Bao, Lihong Xie, Katerine Loaiza, Ahmad El-hissewy, Joseph Gayin, Neerja Sharma, Sivakami Rajeswari, Swaminathan Manonmani, N. Shobha Rani, Suneetha Kota, Siti Dewi Indrasari, Fatemeh Habibi, Maryam Hosseini, Fatemeh Tavasoli, Keitaro Suzuki, Takayuki Umemoto, Chanthkone Boualaphanh, Huei Hong Lee, Yiu Pang Hung, Asfaliza Ramli, Pa Pa Aung, Rauf Ahmad, Javed Iqbal Wattoo, Evelyn Bandonill, Marissa Romero, Carla Moita Brites, Roshni Hafeel, Huu-Sheng Lur, Kunya Cheaupun, Supanee Jongdee, Pedro Blanco, Rolfe Bryant, Nguyen Thi Lang, Robert D. Hall, Melissa Fitzgerald

Abstract

With the ever-increasing global demand for high quality rice in both local production regions and with Western consumers, we have a strong desire to understand better the importance of the different traits that make up the quality of the rice grain and obtain a full picture of rice quality demographics. Rice is by no means a 'one size fits all' crop. Regional preferences are not only striking, they drive the market and hence are of major economic importance in any rice breeding / improvement strategy. In this analysis, we have engaged local experts across the world to perform a full assessment of all the major rice quality trait characteristics and importantly, to determine how these are combined in the most preferred varieties for each of their regions. Physical as well as biochemical characteristics have been monitored and this has resulted in the identification of no less than 18 quality trait combinations. This complexity immediately reveals the extent of the specificity of consumer preference. Nevertheless, further assessment of these combinations at the variety level reveals that several groups still comprise varieties which consumers can readily identify as being different. This emphasises the shortcomings in the current tools we have available to assess rice quality and raises the issue of how we might correct for this in the future. Only with additional tools and research will we be able to define directed strategies for rice breeding which are able to combine important agronomic features with the demands of local consumers for specific quality attributes and hence, design new, improved crop varieties which will be awarded success in the global market.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 258 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Philippines 2 <1%
Malaysia 1 <1%
Côte d'Ivoire 1 <1%
Vietnam 1 <1%
Netherlands 1 <1%
Unknown 252 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 62 24%
Student > Ph. D. Student 36 14%
Student > Master 29 11%
Student > Bachelor 13 5%
Student > Doctoral Student 10 4%
Other 37 14%
Unknown 71 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 115 45%
Biochemistry, Genetics and Molecular Biology 17 7%
Economics, Econometrics and Finance 8 3%
Chemistry 7 3%
Environmental Science 6 2%
Other 28 11%
Unknown 77 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 08 July 2016.
All research outputs
#2,047,607
of 23,837,558 outputs
Outputs from PLOS ONE
#25,845
of 203,659 outputs
Outputs of similar age
#24,429
of 311,926 outputs
Outputs of similar age from PLOS ONE
#739
of 5,504 outputs
Altmetric has tracked 23,837,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 203,659 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has done well, scoring higher than 87% 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 311,926 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 5,504 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.