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Activation of MAP kinases by green leaf volatiles in grasses

Overview of attention for article published in BMC Research Notes, January 2018
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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 (80th percentile)

Mentioned by

blogs
1 blog
wikipedia
1 Wikipedia page

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Activation of MAP kinases by green leaf volatiles in grasses
Published in
BMC Research Notes, January 2018
DOI 10.1186/s13104-017-3076-9
Pubmed ID
Authors

James E. Dombrowski, Ruth C. Martin

Abstract

Previously we have shown that mechanical wounding and volatiles released from cut grass, activated a 46 and 44 kDa mitogen-activated protein kinase (MAPK) in the model grass species Lolium temulentum (Lt). MAPKs play an important role as signal relays that connect incoming stress signals and stress responses. Since green leaf volatiles (GLV) are released during wounding, we wanted determine if specific compounds contained in the GLV mixture or if GLV generated from other plant species could activate these Lt MAPKs. Our analysis found that just a 1-min exposure to GLV was enough to activate the Lt 46 kDa MAPK within 3 min and the 44 kDa MAPK within 15 min. This activation pattern showed similar kinetics to those observed after wounding, and the GLV and wound activated bands associated with these MAPKs displayed identical migration on sodium dodecyl sulfate polyacrylamide gels. Thirteen different commercially available plant volatiles (alcohols, aldehydes and ketones) were tested and all thirteen volatile compounds were able to activate these same Lt MAPKs. Furthermore, GLV derived from three other grass species as well as tomato, a dicot, were also shown to activate these MAPKs in Lt.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 50%
Other 1 13%
Unspecified 1 13%
Student > Postgraduate 1 13%
Student > Master 1 13%
Other 0 0%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 50%
Nursing and Health Professions 1 13%
Biochemistry, Genetics and Molecular Biology 1 13%
Environmental Science 1 13%
Medicine and Dentistry 1 13%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 28 November 2018.
All research outputs
#2,066,778
of 13,941,062 outputs
Outputs from BMC Research Notes
#334
of 3,180 outputs
Outputs of similar age
#70,618
of 358,508 outputs
Outputs of similar age from BMC Research Notes
#1
of 3 outputs
Altmetric has tracked 13,941,062 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,180 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 89% 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 358,508 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 80% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them