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An automated approach for the identification of horizontal gene transfers from complete genomes reveals the rhizome of Rickettsiales

Overview of attention for article published in BMC Evolutionary Biology, December 2012
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  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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4 tweeters

Citations

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12 Dimensions

Readers on

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66 Mendeley
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Title
An automated approach for the identification of horizontal gene transfers from complete genomes reveals the rhizome of Rickettsiales
Published in
BMC Evolutionary Biology, December 2012
DOI 10.1186/1471-2148-12-243
Pubmed ID
Authors

Phuong Thi Le, Hemalatha Golaconda Ramulu, Laurent Guijarro, Julien Paganini, Philippe Gouret, Olivier Chabrol, Dider Raoult, Pierre Pontarotti

Abstract

Horizontal gene transfer (HGT) is considered to be a major force driving the evolutionary history of prokaryotes. HGT is widespread in prokaryotes, contributing to the genomic repertoire of prokaryotic organisms, and is particularly apparent in Rickettsiales genomes. Gene gains from both distantly and closely related organisms play crucial roles in the evolution of bacterial genomes. In this work, we focus on genes transferred from distantly related species into Rickettsiales species.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 3%
Mexico 1 2%
Belgium 1 2%
United States 1 2%
Unknown 61 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 21%
Student > Master 12 18%
Student > Ph. D. Student 10 15%
Professor > Associate Professor 6 9%
Student > Doctoral Student 5 8%
Other 11 17%
Unknown 8 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 58%
Biochemistry, Genetics and Molecular Biology 8 12%
Computer Science 2 3%
Immunology and Microbiology 2 3%
Social Sciences 2 3%
Other 5 8%
Unknown 9 14%

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 08 January 2013.
All research outputs
#5,713,064
of 10,686,932 outputs
Outputs from BMC Evolutionary Biology
#1,459
of 2,187 outputs
Outputs of similar age
#134,053
of 305,524 outputs
Outputs of similar age from BMC Evolutionary Biology
#32
of 60 outputs
Altmetric has tracked 10,686,932 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,187 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 32nd percentile – i.e., 32% 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 305,524 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 54% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.