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Ecogenomics and Taxonomy of Cyanobacteria Phylum

Overview of attention for article published in Frontiers in Microbiology, November 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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32 X users
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1 Facebook page
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2 Wikipedia pages

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236 Mendeley
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Title
Ecogenomics and Taxonomy of Cyanobacteria Phylum
Published in
Frontiers in Microbiology, November 2017
DOI 10.3389/fmicb.2017.02132
Pubmed ID
Authors

Juline M. Walter, Felipe H. Coutinho, Bas E. Dutilh, Jean Swings, Fabiano L. Thompson, Cristiane C. Thompson

Abstract

Cyanobacteria are major contributors to global biogeochemical cycles. The genetic diversity among Cyanobacteria enables them to thrive across many habitats, although only a few studies have analyzed the association of phylogenomic clades to specific environmental niches. In this study, we adopted an ecogenomics strategy with the aim to delineate ecological niche preferences of Cyanobacteria and integrate them to the genomic taxonomy of these bacteria. First, an appropriate phylogenomic framework was established using a set of genomic taxonomy signatures (including a tree based on conserved gene sequences, genome-to-genome distance, and average amino acid identity) to analyse ninety-nine publicly available cyanobacterial genomes. Next, the relative abundances of these genomes were determined throughout diverse global marine and freshwater ecosystems, using metagenomic data sets. The whole-genome-based taxonomy of the ninety-nine genomes allowed us to identify 57 (of which 28 are new genera) and 87 (of which 32 are new species) different cyanobacterial genera and species, respectively. The ecogenomic analysis allowed the distinction of three major ecological groups of Cyanobacteria (named as i. Low Temperature; ii. Low Temperature Copiotroph; and iii. High Temperature Oligotroph) that were coherently linked to the genomic taxonomy. This work establishes a new taxonomic framework for Cyanobacteria in the light of genomic taxonomy and ecogenomic approaches.

X Demographics

X Demographics

The data shown below were collected from the profiles of 32 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 236 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 236 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 39 17%
Student > Ph. D. Student 36 15%
Student > Bachelor 28 12%
Researcher 25 11%
Student > Doctoral Student 18 8%
Other 29 12%
Unknown 61 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 69 29%
Biochemistry, Genetics and Molecular Biology 52 22%
Environmental Science 18 8%
Earth and Planetary Sciences 6 3%
Engineering 4 2%
Other 19 8%
Unknown 68 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 May 2021.
All research outputs
#1,511,485
of 23,852,579 outputs
Outputs from Frontiers in Microbiology
#945
of 26,519 outputs
Outputs of similar age
#31,228
of 327,472 outputs
Outputs of similar age from Frontiers in Microbiology
#27
of 530 outputs
Altmetric has tracked 23,852,579 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 26,519 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 96% of its peers.
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 327,472 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 530 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.