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Physiological stressors and invasive plant infections alter the small RNA transcriptome of the rice blast fungus, Magnaporthe oryzae

Overview of attention for article published in BMC Genomics, May 2013
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Citations

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51 Dimensions

Readers on

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91 Mendeley
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1 CiteULike
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Title
Physiological stressors and invasive plant infections alter the small RNA transcriptome of the rice blast fungus, Magnaporthe oryzae
Published in
BMC Genomics, May 2013
DOI 10.1186/1471-2164-14-326
Pubmed ID
Authors

Vidhyavathi Raman, Stacey A Simon, Amanda Romag, Feray Demirci, Sandra M Mathioni, Jixian Zhai, Blake C Meyers, Nicole M Donofrio

Abstract

The rice blast fungus, Magnaporthe oryzae is a destructive pathogen of rice and other related crops, causing significant yield losses worldwide. Endogenous small RNAs (sRNAs), including small interfering RNAs (siRNAs) and microRNAs (miRNAs) are critical components of gene regulation in many eukaryotic organisms. Recently several new species of sRNAs have been identified in fungi. This fact along with the availability of genome sequence makes M. oryzae a compelling target for sRNA profiling. We have examined sRNA species and their biosynthetic genes in M. oryzae, and the degree to which these elements regulate fungal stress responses. To this end, we have characterized sRNAs under different physiological stress conditions, which had not yet been examined in this fungus.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 2 2%
Philippines 1 1%
Unknown 88 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 22%
Student > Ph. D. Student 20 22%
Student > Bachelor 8 9%
Student > Doctoral Student 7 8%
Student > Master 7 8%
Other 15 16%
Unknown 14 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 59%
Biochemistry, Genetics and Molecular Biology 12 13%
Engineering 3 3%
Computer Science 2 2%
Environmental Science 1 1%
Other 4 4%
Unknown 15 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 May 2013.
All research outputs
#15,557,505
of 23,881,329 outputs
Outputs from BMC Genomics
#6,304
of 10,793 outputs
Outputs of similar age
#117,571
of 195,437 outputs
Outputs of similar age from BMC Genomics
#62
of 112 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 36th percentile – i.e., 36% 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 195,437 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.