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Lateral gene transfer, rearrangement, reconciliation

Overview of attention for article published in BMC Bioinformatics, October 2013
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
37 Mendeley
citeulike
2 CiteULike
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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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 37 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 32 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 27%
Student > Master 7 19%
Researcher 6 16%
Student > Postgraduate 3 8%
Other 3 8%
Other 6 16%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 35%
Computer Science 13 35%
Biochemistry, Genetics and Molecular Biology 6 16%
Environmental Science 1 3%
Immunology and Microbiology 1 3%
Other 0 0%
Unknown 3 8%

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
#7,762,557
of 12,373,386 outputs
Outputs from BMC Bioinformatics
#3,176
of 4,588 outputs
Outputs of similar age
#98,540
of 192,752 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 32 outputs
Altmetric has tracked 12,373,386 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,588 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 21st percentile – i.e., 21% 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 192,752 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.