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Xanthomonas oryzae pv oryzae triggers immediate transcriptomic modulations in rice

Overview of attention for article published in BMC Genomics, January 2012
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3 X users

Citations

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26 Dimensions

Readers on

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73 Mendeley
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1 CiteULike
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Title
Xanthomonas oryzae pv oryzae triggers immediate transcriptomic modulations in rice
Published in
BMC Genomics, January 2012
DOI 10.1186/1471-2164-13-49
Pubmed ID
Authors

Rumdeep K Grewal, Sumanti Gupta, Sampa Das

Abstract

Xanthomonas oryzae pv oryzae is a devastating pathogen of rice and has been extensively studied as a model pathogen of monocotyledons. Expressional studies in both the contenders have been undertaken in past to understand the molecular mechanism underlying the compatible and incompatible interactions in the pathosystem. Continuous update on database and gene annotations necessitates constant updating on the roles of the new entities as well as reinterpretation of regulations of the previous ones. Moreover the past endeavors have addressed the middle or late defense responses of the rice plant whereas in the present study an attempt has been made to investigate the early defense responses taking place immediately after inoculation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Germany 1 1%
France 1 1%
Italy 1 1%
India 1 1%
Singapore 1 1%
United States 1 1%
Unknown 66 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 19%
Student > Master 13 18%
Student > Ph. D. Student 9 12%
Student > Bachelor 5 7%
Student > Doctoral Student 4 5%
Other 14 19%
Unknown 14 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 59%
Biochemistry, Genetics and Molecular Biology 8 11%
Engineering 2 3%
Environmental Science 1 1%
Chemical Engineering 1 1%
Other 1 1%
Unknown 17 23%
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 02 March 2012.
All research outputs
#13,863,476
of 22,662,201 outputs
Outputs from BMC Genomics
#5,318
of 10,612 outputs
Outputs of similar age
#151,479
of 247,128 outputs
Outputs of similar age from BMC Genomics
#138
of 275 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,612 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 46th percentile – i.e., 46% 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 247,128 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 275 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.