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Characterization of Sugar and Polyphenolic Diversity in Floral Nectar of Different ‘Oblačinska’ Sour Cherry Clones

Overview of attention for article published in Chemistry & Biodiversity, September 2017
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1 tweeter

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Title
Characterization of Sugar and Polyphenolic Diversity in Floral Nectar of Different ‘Oblačinska’ Sour Cherry Clones
Published in
Chemistry & Biodiversity, September 2017
DOI 10.1002/cbdv.201700061
Pubmed ID
Authors

Basem Guffa, Nebojša M. Nedić, Dragana Č. Dabić Zagorac, Tomislav B. Tosti, Uroš M. Gašić, Maja M. Natić, Milica M. Fotirić Akšić

Abstract

'Oblačinska' sour cherry, an autochthonous cultivar, is the most planted cultivar in Serbian orchards. Since fruit trees in temperate zone reward insects by producing nectar which 'quality' affects the efficiency of insect pollination, the aim of this study was analyzing of sugars and polyphenolics in floral nectar of 16 'Oblačinska' sour cherry clones with different yielding potential. The contents of sugars and sugar alcohols were analyzed by ion chromatography, while polyphenolic profile was established using liquid chromatography - mass spectrometry technique (LC/MS). 14 sugars and 6 sugar alcohols were detected in nectar samples and the most abundant were fructose, glucose, and sucrose. 11 polyphenols were quantified using available standards, while another 17 were identified according to their exact masses and characteristic fragmentations. Among quantified polyphenols, rutin, naringenin, and chrysin were the most abundant in nectar. Principal component analysis (PCA) showed that some polyphenol components (naringin, naringenin, and rutin) together with sugars had high impact of spatial distribution of nectar samples on score plot. This article is protected by copyright. All rights reserved.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 27%
Researcher 3 27%
Student > Doctoral Student 1 9%
Professor > Associate Professor 1 9%
Unknown 3 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 27%
Environmental Science 1 9%
Decision Sciences 1 9%
Chemistry 1 9%
Unknown 5 45%

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 13 July 2017.
All research outputs
#12,039,826
of 13,579,239 outputs
Outputs from Chemistry & Biodiversity
#681
of 800 outputs
Outputs of similar age
#223,865
of 263,109 outputs
Outputs of similar age from Chemistry & Biodiversity
#15
of 21 outputs
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So far Altmetric has tracked 800 research outputs from this source. They receive a mean Attention Score of 3.0. 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 21 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.