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Comparative genomic analysis of six bacteria belonging to the genus Novosphingobium: insights into marine adaptation, cell-cell signaling and bioremediation

Overview of attention for article published in BMC Genomics, June 2013
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Citations

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107 Mendeley
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Title
Comparative genomic analysis of six bacteria belonging to the genus Novosphingobium: insights into marine adaptation, cell-cell signaling and bioremediation
Published in
BMC Genomics, June 2013
DOI 10.1186/1471-2164-14-431
Pubmed ID
Authors

Han Ming Gan, André O Hudson, Ahmad Yamin Abdul Rahman, Kok Gan Chan, Michael A Savka

Abstract

Bacteria belonging to the genus Novosphingobium are known to be metabolically versatile and occupy different ecological niches. In the absence of genomic data and/or analysis, knowledge of the bacteria that belong to this genus is currently limited to biochemical characteristics. In this study, we analyzed the whole genome sequencing data of six bacteria in the Novosphingobium genus and provide evidence to show the presence of genes that are associated with salt tolerance, cell-cell signaling and aromatic compound biodegradation phenotypes. Additionally, we show the taxonomic relationship between the sequenced bacteria based on phylogenomic analysis, average amino acid identity (AAI) and genomic signatures.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 2 2%
Brazil 2 2%
Germany 1 <1%
Unknown 102 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 31%
Student > Master 21 20%
Researcher 12 11%
Student > Doctoral Student 8 7%
Student > Postgraduate 5 5%
Other 13 12%
Unknown 15 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 39%
Biochemistry, Genetics and Molecular Biology 23 21%
Environmental Science 9 8%
Immunology and Microbiology 3 3%
Computer Science 2 2%
Other 7 7%
Unknown 21 20%
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 03 July 2013.
All research outputs
#14,755,210
of 22,713,403 outputs
Outputs from BMC Genomics
#6,117
of 10,626 outputs
Outputs of similar age
#116,535
of 195,446 outputs
Outputs of similar age from BMC Genomics
#66
of 115 outputs
Altmetric has tracked 22,713,403 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 10,626 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 195,446 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 115 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.