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Adaptation of Rhizobium leguminosarumto pea, alfalfa and sugar beet rhizospheres investigated by comparative transcriptomics

Overview of attention for article published in Genome Biology, October 2011
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  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

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1 X user
patent
1 patent

Citations

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166 Dimensions

Readers on

mendeley
185 Mendeley
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1 CiteULike
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Title
Adaptation of Rhizobium leguminosarumto pea, alfalfa and sugar beet rhizospheres investigated by comparative transcriptomics
Published in
Genome Biology, October 2011
DOI 10.1186/gb-2011-12-10-r106
Pubmed ID
Authors

Vinoy K Ramachandran, Alison K East, Ramakrishnan Karunakaran, J Allan Downie, Philip S Poole

Abstract

The rhizosphere is the microbe-rich zone around plant roots and is a key determinant of the biosphere's productivity. Comparative transcriptomics was used to investigate general and plant-specific adaptations during rhizosphere colonization. Rhizobium leguminosarum biovar viciae was grown in the rhizospheres of pea (its legume nodulation host), alfalfa (a non-host legume) and sugar beet (non-legume). Gene expression data were compared to metabolic and transportome maps to understand adaptation to the rhizosphere.

X Demographics

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 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Mexico 1 <1%
United States 1 <1%
Argentina 1 <1%
Unknown 181 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 24%
Researcher 40 22%
Student > Master 19 10%
Student > Bachelor 17 9%
Student > Doctoral Student 10 5%
Other 20 11%
Unknown 35 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 92 50%
Biochemistry, Genetics and Molecular Biology 30 16%
Environmental Science 6 3%
Immunology and Microbiology 5 3%
Chemical Engineering 3 2%
Other 9 5%
Unknown 40 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 24 September 2020.
All research outputs
#7,959,659
of 25,371,288 outputs
Outputs from Genome Biology
#3,393
of 4,467 outputs
Outputs of similar age
#47,379
of 151,948 outputs
Outputs of similar age from Genome Biology
#32
of 46 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 23rd percentile – i.e., 23% 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 151,948 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.