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Molecular locks and keys: the role of small molecules in phytohormone research

Overview of attention for article published in Frontiers in Plant Science, December 2014
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Title
Molecular locks and keys: the role of small molecules in phytohormone research
Published in
Frontiers in Plant Science, December 2014
DOI 10.3389/fpls.2014.00709
Pubmed ID
Authors

Sandra Fonseca, Abel Rosado, John Vaughan-Hirsch, Anthony Bishopp, Andrea Chini

Abstract

Plant adaptation, growth and development rely on the integration of many environmental and endogenous signals that collectively determine the overall plant phenotypic plasticity. Plant signaling molecules, also known as phytohormones, are fundamental to this process. These molecules act at low concentrations and regulate multiple aspects of plant fitness and development via complex signaling networks. By its nature, phytohormone research lies at the interface between chemistry and biology. Classically, the scientific community has always used synthetic phytohormones and analogs to study hormone functions and responses. However, recent advances in synthetic and combinational chemistry, have allowed a new field, plant chemical biology, to emerge and this has provided a powerful tool with which to study phytohormone function. Plant chemical biology is helping to address some of the most enduring questions in phytohormone research such as: Are there still undiscovered plant hormones? How can we identify novel signaling molecules? How can plants activate specific hormone responses in a tissue-specific manner? How can we modulate hormone responses in one developmental context without inducing detrimental effects on other processes? The chemical genomics approaches rely on the identification of small molecules modulating different biological processes and have recently identified active forms of plant hormones and molecules regulating many aspects of hormone synthesis, transport and response. We envision that the field of chemical genomics will continue to provide novel molecules able to elucidate specific aspects of hormone-mediated mechanisms. In addition, compounds blocking specific responses could uncover how complex biological responses are regulated. As we gain information about such compounds we can design small alterations to the chemical structure to further alter specificity, enhance affinity or modulate the activity of these compounds.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Chile 1 1%
Spain 1 1%
Switzerland 1 1%
Unknown 95 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 20%
Student > Ph. D. Student 15 15%
Student > Bachelor 15 15%
Student > Doctoral Student 4 4%
Professor 4 4%
Other 14 14%
Unknown 27 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 45%
Biochemistry, Genetics and Molecular Biology 12 12%
Environmental Science 5 5%
Chemistry 5 5%
Nursing and Health Professions 1 1%
Other 5 5%
Unknown 26 26%
Attention Score in Context

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 15 January 2015.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Frontiers in Plant Science
#16,524
of 24,593 outputs
Outputs of similar age
#258,150
of 347,644 outputs
Outputs of similar age from Frontiers in Plant Science
#155
of 225 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,593 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 19th percentile – i.e., 19% 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 347,644 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 225 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.