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Genomes of three tomato pathogens within the Ralstonia solanacearum species complex reveal significant evolutionary divergence

Overview of attention for article published in BMC Genomics, June 2010
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2 Wikipedia pages

Citations

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170 Dimensions

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196 Mendeley
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Title
Genomes of three tomato pathogens within the Ralstonia solanacearum species complex reveal significant evolutionary divergence
Published in
BMC Genomics, June 2010
DOI 10.1186/1471-2164-11-379
Pubmed ID
Authors

Benoît Remenant, Bénédicte Coupat-Goutaland, Alice Guidot, Gilles Cellier, Emmanuel Wicker, Caitilyn Allen, Mark Fegan, Olivier Pruvost, Mounira Elbaz, Alexandra Calteau, Gregory Salvignol, Damien Mornico, Sophie Mangenot, Valérie Barbe, Claudine Médigue, Philippe Prior

Abstract

The Ralstonia solanacearum species complex includes thousands of strains pathogenic to an unusually wide range of plant species. These globally dispersed and heterogeneous strains cause bacterial wilt diseases, which have major socio-economic impacts. Pathogenicity is an ancestral trait in R. solanacearum and strains with high genetic variation can be subdivided into four phylotypes, correlating to isolates from Asia (phylotype I), the Americas (phylotype IIA and IIB), Africa (phylotype III) and Indonesia (phylotype IV). Comparison of genome sequences strains representative of this phylogenetic diversity can help determine which traits allow this bacterium to be such a pathogen of so many different plant species and how the bacteria survive in many different habitats.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Brazil 2 1%
Uganda 1 <1%
Ethiopia 1 <1%
Germany 1 <1%
France 1 <1%
Spain 1 <1%
Belgium 1 <1%
Unknown 186 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 27%
Researcher 40 20%
Student > Master 28 14%
Student > Doctoral Student 15 8%
Student > Bachelor 13 7%
Other 24 12%
Unknown 24 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 129 66%
Biochemistry, Genetics and Molecular Biology 24 12%
Immunology and Microbiology 7 4%
Social Sciences 3 2%
Engineering 2 1%
Other 6 3%
Unknown 25 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 March 2022.
All research outputs
#7,650,357
of 23,292,144 outputs
Outputs from BMC Genomics
#3,655
of 10,739 outputs
Outputs of similar age
#34,562
of 96,712 outputs
Outputs of similar age from BMC Genomics
#13
of 34 outputs
Altmetric has tracked 23,292,144 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,739 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 96,712 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.