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Impact of homologous and non-homologous recombination in the genomic evolution of Escherichia coli

Overview of attention for article published in BMC Genomics, June 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

policy
1 policy source
twitter
4 X users

Citations

dimensions_citation
121 Dimensions

Readers on

mendeley
182 Mendeley
citeulike
2 CiteULike
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Title
Impact of homologous and non-homologous recombination in the genomic evolution of Escherichia coli
Published in
BMC Genomics, June 2012
DOI 10.1186/1471-2164-13-256
Pubmed ID
Authors

Xavier Didelot, Guillaume Méric, Daniel Falush, Aaron E Darling

Abstract

Escherichia coli is an important species of bacteria that can live as a harmless inhabitant of the guts of many animals, as a pathogen causing life-threatening conditions or freely in the non-host environment. This diversity of lifestyles has made it a particular focus of interest for studies of genetic variation, mainly with the aim to understand how a commensal can become a deadly pathogen. Many whole genomes of E. coli have been fully sequenced in the past few years, which offer helpful data to help understand how this important species evolved.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
France 1 <1%
Australia 1 <1%
Switzerland 1 <1%
United Kingdom 1 <1%
Sweden 1 <1%
Spain 1 <1%
Mexico 1 <1%
Unknown 171 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 25%
Researcher 30 16%
Student > Master 26 14%
Student > Bachelor 14 8%
Professor > Associate Professor 9 5%
Other 28 15%
Unknown 30 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 84 46%
Biochemistry, Genetics and Molecular Biology 36 20%
Medicine and Dentistry 8 4%
Computer Science 6 3%
Mathematics 4 2%
Other 12 7%
Unknown 32 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 January 2014.
All research outputs
#6,332,855
of 25,373,627 outputs
Outputs from BMC Genomics
#2,385
of 11,244 outputs
Outputs of similar age
#42,390
of 177,906 outputs
Outputs of similar age from BMC Genomics
#24
of 157 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 78% 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 177,906 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 76% of its contemporaries.
We're also able to compare this research output to 157 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.