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Genomic resolution of linkages in carbon, nitrogen, and sulfur cycling among widespread estuary sediment bacteria

Overview of attention for article published in Microbiome, April 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)

Mentioned by

25 tweeters
2 Facebook pages
2 Wikipedia pages
1 Google+ user


229 Dimensions

Readers on

364 Mendeley
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Genomic resolution of linkages in carbon, nitrogen, and sulfur cycling among widespread estuary sediment bacteria
Published in
Microbiome, April 2015
DOI 10.1186/s40168-015-0077-6
Pubmed ID

Brett J Baker, Cassandre Sara Lazar, Andreas P Teske, Gregory J Dick


Estuaries are among the most productive habitats on the planet. Bacteria in estuary sediments control the turnover of organic carbon and the cycling of nitrogen and sulfur. These communities are complex and primarily made up of uncultured lineages, thus little is known about how ecological and metabolic processes are partitioned in sediments. De novo assembly and binning resulted in the reconstruction of 82 bacterial genomes from different redox regimes of estuary sediments. These genomes belong to 23 bacterial groups, including uncultured candidate phyla (for example, KSB1, TA06, and KD3-62) and three newly described phyla (White Oak River (WOR)-1, WOR-2, and WOR-3). The uncultured phyla are generally most abundant in the sulfate-methane transition (SMTZ) and methane-rich zones, and genomic data predict that they mediate essential biogeochemical processes of the estuarine environment, including organic carbon degradation and fermentation. Among the most abundant organisms in the sulfate-rich layer are novel Gammaproteobacteria that have genes for the oxidation of sulfur and the reduction of nitrate and nitrite. Interestingly, the terminal steps of denitrification (NO3 to N2O and then N2O to N2) are present in distinct bacterial populations. This dataset extends our knowledge of the metabolic potential of several uncultured phyla. Within the sediments, there is redundancy in the genomic potential in different lineages, often distinct phyla, for essential biogeochemical processes. We were able to chart the flow of carbon and nutrients through the multiple geochemical layers of bacterial processing and reveal potential ecological interactions within the communities.

Twitter Demographics

The data shown below were collected from the profiles of 25 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 364 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 2%
Germany 3 <1%
Netherlands 1 <1%
Brazil 1 <1%
Belgium 1 <1%
Sweden 1 <1%
Japan 1 <1%
Estonia 1 <1%
Unknown 348 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 110 30%
Researcher 54 15%
Student > Master 48 13%
Student > Bachelor 32 9%
Student > Doctoral Student 19 5%
Other 56 15%
Unknown 45 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 112 31%
Environmental Science 65 18%
Biochemistry, Genetics and Molecular Biology 54 15%
Earth and Planetary Sciences 23 6%
Immunology and Microbiology 18 5%
Other 24 7%
Unknown 68 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 11 December 2020.
All research outputs
of 21,328,171 outputs
Outputs from Microbiome
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Outputs of similar age
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Outputs of similar age from Microbiome
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Altmetric has tracked 21,328,171 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,284 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.7. This one has gotten more attention than average, scoring higher than 50% 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 243,483 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.
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