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A User's Guide to a Data Base of the Diversity of Pseudomonas syringae and Its Application to Classifying Strains in This Phylogenetic Complex

Overview of attention for article published in PLOS ONE, September 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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7 X users
wikipedia
1 Wikipedia page

Citations

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204 Dimensions

Readers on

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178 Mendeley
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Title
A User's Guide to a Data Base of the Diversity of Pseudomonas syringae and Its Application to Classifying Strains in This Phylogenetic Complex
Published in
PLOS ONE, September 2014
DOI 10.1371/journal.pone.0105547
Pubmed ID
Authors

Odile Berge, Caroline L. Monteil, Claudia Bartoli, Charlotte Chandeysson, Caroline Guilbaud, David C. Sands, Cindy E. Morris

Abstract

The Pseudomonas syringae complex is composed of numerous genetic lineages of strains from both agricultural and environmental habitats including habitats closely linked to the water cycle. The new insights from the discovery of this bacterial species in habitats outside of agricultural contexts per se have led to the revelation of a wide diversity of strains in this complex beyond what was known from agricultural contexts. Here, through Multi Locus Sequence Typing (MLST) of 216 strains, we identified 23 clades within 13 phylogroups among which the seven previously described P. syringae phylogroups were included. The phylogeny of the core genome of 29 strains representing nine phylogroups was similar to the phylogeny obtained with MLST thereby confirming the robustness of MLST-phylogroups. We show that phenotypic traits rarely provide a satisfactory means for classification of strains even if some combinations are highly probable in some phylogroups. We demonstrate that the citrate synthase (cts) housekeeping gene can accurately predict the phylogenetic affiliation for more than 97% of strains tested. We propose a list of cts sequences to be used as a simple tool for quickly and precisely classifying new strains. Finally, our analysis leads to predictions about the diversity of P. syringae that is yet to be discovered. We present here an expandable framework mainly based on cts genetic analysis into which more diversity can be integrated.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 1%
Greece 1 <1%
United States 1 <1%
Unknown 174 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 17%
Researcher 30 17%
Student > Master 25 14%
Student > Bachelor 14 8%
Student > Doctoral Student 12 7%
Other 19 11%
Unknown 48 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 78 44%
Biochemistry, Genetics and Molecular Biology 27 15%
Environmental Science 8 4%
Chemistry 4 2%
Immunology and Microbiology 3 2%
Other 5 3%
Unknown 53 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 13 October 2017.
All research outputs
#4,625,120
of 22,763,032 outputs
Outputs from PLOS ONE
#62,846
of 194,201 outputs
Outputs of similar age
#47,907
of 237,864 outputs
Outputs of similar age from PLOS ONE
#1,205
of 5,024 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 194,201 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 67% 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 237,864 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 5,024 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.