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New insights in dehydration stress behavior of two maize hybrids using advanced distributed reactivity model (DRM). Responses to the impact of 24-epibrassinolide

Overview of attention for article published in PLOS ONE, June 2017
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Title
New insights in dehydration stress behavior of two maize hybrids using advanced distributed reactivity model (DRM). Responses to the impact of 24-epibrassinolide
Published in
PLOS ONE, June 2017
DOI 10.1371/journal.pone.0179650
Pubmed ID
Authors

Hadi Waisi, Bojan Janković, Marija Janković, Bogdan Nikolić, Ivica Dimkić, Blažo Lalević, Vera Raičević

Abstract

Proposed distributed reactivity model of dehydration for seedling parts of two various maize hybrids (ZP434, ZP704) was established. Dehydration stresses were induced thermally, which is also accompanied by response of hybrids to heat stress. It was found that an increased value of activation energy counterparts within radicle dehydration of ZP434, with a high concentration of 24-epibrassinolide (24-EBL) at elevated operating temperatures, probably causes activation of diffusion mechanisms in cutin network and may increases likelihood of formation of free volumes, large enough to accommodate diffusing molecule. Many small random effects were detected and can be correlated with micro-disturbing in a space filled with water caused by thermal gradients, increasing capillary phenomena, and which can induce thermo-capillary migration. The influence of seedling content of various sugars and minerals on dehydration was also examined. Estimated distributed reactivity models indicate a dependence of reactivity on structural arrangements, due to present interactions between water molecules and chemical species within the plant.

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 %
Researcher 3 27%
Student > Ph. D. Student 2 18%
Student > Master 2 18%
Student > Bachelor 1 9%
Professor > Associate Professor 1 9%
Other 1 9%
Unknown 1 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 64%
Psychology 1 9%
Energy 1 9%
Unknown 2 18%

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 23 June 2017.
All research outputs
#10,112,169
of 11,403,395 outputs
Outputs from PLOS ONE
#108,074
of 126,609 outputs
Outputs of similar age
#220,430
of 263,591 outputs
Outputs of similar age from PLOS ONE
#3,008
of 3,589 outputs
Altmetric has tracked 11,403,395 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 126,609 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 263,591 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,589 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.