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Assembling networks of microbial genomes using linear programming

Overview of attention for article published in BMC Ecology and Evolution, November 2010
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2 X users

Citations

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Title
Assembling networks of microbial genomes using linear programming
Published in
BMC Ecology and Evolution, November 2010
DOI 10.1186/1471-2148-10-360
Pubmed ID
Authors

Catherine Holloway, Robert G Beiko

Abstract

Microbial genomes exhibit complex sets of genetic affinities due to lateral genetic transfer. Assessing the relative contributions of parent-to-offspring inheritance and gene sharing is a vital step in understanding the evolutionary origins and modern-day function of an organism, but recovering and showing these relationships is a challenging problem.

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X Demographics

The data shown below were collected from the profiles of 2 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 4%
Australia 1 4%
Sweden 1 4%
India 1 4%
Canada 1 4%
Unknown 20 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 40%
Student > Ph. D. Student 4 16%
Student > Doctoral Student 2 8%
Student > Bachelor 2 8%
Professor 2 8%
Other 4 16%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 56%
Computer Science 4 16%
Medicine and Dentistry 2 8%
Mathematics 1 4%
Chemical Engineering 1 4%
Other 2 8%
Unknown 1 4%
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 19 September 2012.
All research outputs
#16,722,190
of 25,374,917 outputs
Outputs from BMC Ecology and Evolution
#2,818
of 3,714 outputs
Outputs of similar age
#148,678
of 187,857 outputs
Outputs of similar age from BMC Ecology and Evolution
#44
of 51 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. 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 187,857 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.