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The evolution of domain-content in bacterial genomes

Overview of attention for article published in Biology Direct, December 2008
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Citations

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23 Dimensions

Readers on

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60 Mendeley
citeulike
5 CiteULike
connotea
2 Connotea
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Title
The evolution of domain-content in bacterial genomes
Published in
Biology Direct, December 2008
DOI 10.1186/1745-6150-3-51
Pubmed ID
Authors

Nacho Molina, Erik van Nimwegen

Abstract

Across all sequenced bacterial genomes, the number of domains nc in different functional categories c scales as a power-law in the total number of domains n, i.e. nc proportional n(alpha)c, with exponents alpha(c) that vary across functional categories. Here we investigate the implications of these scaling laws for the evolution of domain-content in bacterial genomes and derive the simplest evolutionary model consistent with these scaling laws.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 2 3%
United States 2 3%
Netherlands 1 2%
Brazil 1 2%
United Kingdom 1 2%
Switzerland 1 2%
Japan 1 2%
Poland 1 2%
Unknown 50 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 37%
Student > Ph. D. Student 15 25%
Professor 4 7%
Professor > Associate Professor 4 7%
Student > Master 4 7%
Other 8 13%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 65%
Biochemistry, Genetics and Molecular Biology 7 12%
Physics and Astronomy 3 5%
Computer Science 3 5%
Mathematics 2 3%
Other 3 5%
Unknown 3 5%
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 24 July 2009.
All research outputs
#17,285,668
of 25,374,647 outputs
Outputs from Biology Direct
#386
of 537 outputs
Outputs of similar age
#151,954
of 178,809 outputs
Outputs of similar age from Biology Direct
#6
of 7 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 537 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 20th percentile – i.e., 20% 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 178,809 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.