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Advances in genomics for the improvement of quality in coffee

Overview of attention for article published in Journal of the Science of Food and Agriculture, April 2016
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
6 X users

Citations

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40 Dimensions

Readers on

mendeley
123 Mendeley
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Title
Advances in genomics for the improvement of quality in coffee
Published in
Journal of the Science of Food and Agriculture, April 2016
DOI 10.1002/jsfa.7692
Pubmed ID
Authors

Hue TM Tran, L Slade Lee, Agnelo Furtado, Heather Smyth, Robert J Henry

Abstract

Coffee is an important crop that provides a livelihood to millions of people living in developing countries. Production of genotypes with improved coffee quality attributes is a primary target of coffee genetic improvement programs. Advances in genomics are providing new tools for analysis of coffee quality at the molecular level. The recent report of a genomic sequence for robusta coffee, Coffea canephora, is a major development. However, a reference genome sequence for the genetically more complex arabica coffee (C. arabica) will also be required to fully define the molecular determinants controlling quality in coffee produced from this high quality coffee species. Genes responsible for control of the levels of the major biochemical components in the coffee bean that are known to be important in determining coffee quality can now be identified by association analysis. However, the narrow genetic base of arabica coffee suggests that genomics analysis of the wild relatives of coffee (Coffea spp.) may be required to find the phenotypic diversity required for effective association genetic analysis. The genomic resources available for the study of coffee quality are described and the potential for the application of next generation sequencing and association genetic analysis to advance coffee quality research are explored.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Brazil 1 <1%
Unknown 121 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 18%
Researcher 14 11%
Student > Bachelor 13 11%
Student > Doctoral Student 10 8%
Student > Ph. D. Student 9 7%
Other 19 15%
Unknown 36 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 33%
Biochemistry, Genetics and Molecular Biology 15 12%
Chemistry 7 6%
Engineering 4 3%
Environmental Science 3 2%
Other 17 14%
Unknown 37 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 22 January 2020.
All research outputs
#2,723,696
of 24,878,531 outputs
Outputs from Journal of the Science of Food and Agriculture
#233
of 4,578 outputs
Outputs of similar age
#42,960
of 306,838 outputs
Outputs of similar age from Journal of the Science of Food and Agriculture
#5
of 80 outputs
Altmetric has tracked 24,878,531 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 94% 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 306,838 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 86% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.