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A quantitative account of genomic island acquisitions in prokaryotes

Overview of attention for article published in BMC Genomics, August 2011
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3 X users

Citations

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47 Mendeley
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Title
A quantitative account of genomic island acquisitions in prokaryotes
Published in
BMC Genomics, August 2011
DOI 10.1186/1471-2164-12-427
Pubmed ID
Authors

Tom E Roos, Mark WJ van Passel

Abstract

Microbial genomes do not merely evolve through the slow accumulation of mutations, but also, and often more dramatically, by taking up new DNA in a process called horizontal gene transfer. These innovation leaps in the acquisition of new traits can take place via the introgression of single genes, but also through the acquisition of large gene clusters, which are termed Genomic Islands. Since only a small proportion of all the DNA diversity has been sequenced, it can be hard to find the appropriate donors for acquired genes via sequence alignments from databases. In contrast, relative oligonucleotide frequencies represent a remarkably stable genomic signature in prokaryotes, which facilitates compositional comparisons as an alignment-free alternative for phylogenetic relatedness. In this project, we test whether Genomic Islands identified in individual bacterial genomes have a similar genomic signature, in terms of relative dinucleotide frequencies, and can therefore be expected to originate from a common donor species.

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X Demographics

The data shown below were collected from the profiles of 3 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 2 4%
Germany 1 2%
United Kingdom 1 2%
Canada 1 2%
Spain 1 2%
Unknown 41 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 32%
Student > Ph. D. Student 9 19%
Professor > Associate Professor 6 13%
Student > Master 6 13%
Student > Bachelor 3 6%
Other 4 9%
Unknown 4 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 57%
Biochemistry, Genetics and Molecular Biology 7 15%
Computer Science 3 6%
Social Sciences 3 6%
Immunology and Microbiology 1 2%
Other 1 2%
Unknown 5 11%
Attention Score in Context

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 September 2011.
All research outputs
#16,282,309
of 25,711,518 outputs
Outputs from BMC Genomics
#6,153
of 11,306 outputs
Outputs of similar age
#91,499
of 135,350 outputs
Outputs of similar age from BMC Genomics
#38
of 75 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,306 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 41st percentile – i.e., 41% 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 135,350 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.