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Assembling networks of microbial genomes using linear programming

Overview of attention for article published in BMC Evolutionary Biology, January 2010
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
25 Mendeley
citeulike
1 CiteULike
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Title
Assembling networks of microbial genomes using linear programming
Published in
BMC Evolutionary Biology, January 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.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 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

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
#7,459,318
of 12,373,386 outputs
Outputs from BMC Evolutionary Biology
#1,697
of 2,341 outputs
Outputs of similar age
#67,404
of 127,483 outputs
Outputs of similar age from BMC Evolutionary Biology
#18
of 36 outputs
Altmetric has tracked 12,373,386 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,341 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 23rd percentile – i.e., 23% 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 127,483 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.