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Lateral gene transfer, rearrangement, reconciliation

Overview of attention for article published in BMC Bioinformatics, October 2013
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Title
Lateral gene transfer, rearrangement, reconciliation
Published in
BMC Bioinformatics, October 2013
DOI 10.1186/1471-2105-14-s15-s4
Pubmed ID
Authors

Murray Patterson, Gergely Szöllősi, Vincent Daubin, Eric Tannier

Abstract

Models of ancestral gene order reconstruction have progressively integrated different evolutionary patterns and processes such as unequal gene content, gene duplications, and implicitly sequence evolution via reconciled gene trees. These models have so far ignored lateral gene transfer, even though in unicellular organisms it can have an important confounding effect, and can be a rich source of information on the function of genes through the detection of transfers of clusters of genes.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 8%
Germany 1 3%
Canada 1 3%
Unknown 33 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 26%
Student > Master 7 18%
Researcher 6 16%
Student > Postgraduate 3 8%
Other 3 8%
Other 6 16%
Unknown 3 8%
Readers by discipline Count As %
Computer Science 13 34%
Agricultural and Biological Sciences 12 32%
Biochemistry, Genetics and Molecular Biology 6 16%
Environmental Science 1 3%
Immunology and Microbiology 1 3%
Other 0 0%
Unknown 5 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 July 2014.
All research outputs
#15,303,056
of 22,758,963 outputs
Outputs from BMC Bioinformatics
#5,372
of 7,272 outputs
Outputs of similar age
#129,771
of 210,824 outputs
Outputs of similar age from BMC Bioinformatics
#72
of 107 outputs
Altmetric has tracked 22,758,963 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,272 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 210,824 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.