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Antagonistic, overlapping and distinct responses to biotic stress in rice (Oryza sativa) and interactions with abiotic stress

Overview of attention for article published in BMC Genomics, February 2013
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2 X users

Citations

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Title
Antagonistic, overlapping and distinct responses to biotic stress in rice (Oryza sativa) and interactions with abiotic stress
Published in
BMC Genomics, February 2013
DOI 10.1186/1471-2164-14-93
Pubmed ID
Authors

Reena Narsai, Chuang Wang, Jie Chen, Jianli Wu, Huixia Shou, James Whelan

Abstract

Every year, substantial crop loss occurs globally, as a result of bacterial, fungal, parasite and viral infections in rice. Here, we present an in-depth investigation of the transcriptomic response to infection with the destructive bacterial pathogen Xanthomonas oryzae pv. oryzae(Xoo) in both resistant and susceptible varieties of Oryza sativa. A comparative analysis to fungal, parasite and viral infection in rice is also presented.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 3 2%
France 1 <1%
Cuba 1 <1%
Netherlands 1 <1%
Brazil 1 <1%
Australia 1 <1%
Mexico 1 <1%
United States 1 <1%
Unknown 162 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 30%
Researcher 38 22%
Student > Master 18 10%
Student > Bachelor 9 5%
Student > Doctoral Student 9 5%
Other 17 10%
Unknown 30 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 108 63%
Biochemistry, Genetics and Molecular Biology 15 9%
Environmental Science 2 1%
Business, Management and Accounting 1 <1%
Chemical Engineering 1 <1%
Other 4 2%
Unknown 41 24%
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 23 May 2013.
All research outputs
#17,283,763
of 25,371,288 outputs
Outputs from BMC Genomics
#7,120
of 11,244 outputs
Outputs of similar age
#197,145
of 296,597 outputs
Outputs of similar age from BMC Genomics
#99
of 162 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 27th percentile – i.e., 27% 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 296,597 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.