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Systems approach for exploring the intricate associations between sweetness, color and aroma in melon fruits

Overview of attention for article published in BMC Plant Biology, March 2015
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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

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1 news outlet
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3 X users

Citations

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41 Dimensions

Readers on

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74 Mendeley
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Title
Systems approach for exploring the intricate associations between sweetness, color and aroma in melon fruits
Published in
BMC Plant Biology, March 2015
DOI 10.1186/s12870-015-0449-x
Pubmed ID
Authors

Shiri Freilich, Shery Lev, Itay Gonda, Eli Reuveni, Vitaly Portnoy, Elad Oren, Marc Lohse, Navot Galpaz, Einat Bar, Galil Tzuri, Guy Wissotsky, Ayala Meir, Joseph Burger, Yaakov Tadmor, Arthur Schaffer, Zhangjun Fei, James Giovannoni, Efraim Lewinsohn, Nurit Katzir

Abstract

Melon (Cucumis melo) fruits exhibit phenotypic diversity in several key quality determinants such as taste, color and aroma. Sucrose, carotenoids and volatiles are recognized as the key compounds shaping the above corresponding traits yet the full network of biochemical events underlying their synthesis have not been comprehensively described. To delineate the cellular processes shaping fruit quality phenotypes, a population of recombinant inbred lines (RIL) was used as a source of phenotypic and genotypic variations. In parallel, ripe fruits were analyzed for both the quantified level of 77 metabolic traits directly associated with fruit quality and for RNA-seq based expression profiles generated for 27,000 unigenes. First, we explored inter-metabolite association patterns; then, we described metabolites versus gene association patterns; finally, we used the correlation-based associations for predicting uncharacterized synthesis pathways. Based on metabolite versus metabolite and metabolite versus gene association patterns, we divided metabolites into two key groups: a group including ethylene and aroma determining volatiles whose accumulation patterns are correlated with the expression of genes involved in the glycolysis and TCA cycle pathways; and a group including sucrose and color determining carotenoids whose accumulation levels are correlated with the expression of genes associated with plastid formation. The study integrates multiple processes into a genome scale perspective of cellular activity. This lays a foundation for deciphering the role of gene markers associated with the determination of fruit quality traits.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
United States 1 1%
Unknown 72 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 24%
Student > Ph. D. Student 15 20%
Student > Master 9 12%
Other 7 9%
Student > Doctoral Student 6 8%
Other 11 15%
Unknown 8 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 65%
Biochemistry, Genetics and Molecular Biology 6 8%
Engineering 2 3%
Computer Science 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 3 4%
Unknown 12 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 16 March 2016.
All research outputs
#2,700,482
of 22,794,367 outputs
Outputs from BMC Plant Biology
#128
of 3,243 outputs
Outputs of similar age
#35,434
of 256,960 outputs
Outputs of similar age from BMC Plant Biology
#3
of 66 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,243 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 95% 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 256,960 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 66 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.