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Bacterial diversity and successional patterns during biofilm formation on freshly exposed basalt surfaces at diffuse-flow deep-sea vents

Overview of attention for article published in Frontiers in Microbiology, September 2015
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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Title
Bacterial diversity and successional patterns during biofilm formation on freshly exposed basalt surfaces at diffuse-flow deep-sea vents
Published in
Frontiers in Microbiology, September 2015
DOI 10.3389/fmicb.2015.00901
Pubmed ID
Authors

Lara K. Gulmann, Stace E. Beaulieu, Timothy M. Shank, Kang Ding, William E. Seyfried, Stefan M. Sievert

Abstract

Many deep-sea hydrothermal vent systems are regularly impacted by volcanic eruptions, leaving fresh basalt where abundant animal and microbial communities once thrived. After an eruption, microbial biofilms are often the first visible evidence of biotic re-colonization. The present study is the first to investigate microbial colonization of newly exposed basalt surfaces in the context of vent fluid chemistry over an extended period of time (4-293 days) by deploying basalt blocks within an established diffuse-flow vent at the 9°50' N vent field on the East Pacific Rise. Additionally, samples obtained after a recent eruption at the same vent field allowed for comparison between experimental results and those from natural microbial re-colonization. Over 9 months, the community changed from being composed almost exclusively of Epsilonproteobacteria to a more diverse assemblage, corresponding with a potential expansion of metabolic capabilities. The process of biofilm formation appears to generate similar surface-associated communities within and across sites by selecting for a subset of fluid-associated microbes, via species sorting. Furthermore, the high incidence of shared operational taxonomic units over time and across different vent sites suggests that the microbial communities colonizing new surfaces at diffuse-flow vent sites might follow a predictable successional pattern.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
Chile 1 1%
Germany 1 1%
Spain 1 1%
Canada 1 1%
Unknown 66 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 20%
Student > Bachelor 13 18%
Student > Master 12 16%
Researcher 10 14%
Student > Doctoral Student 4 5%
Other 13 18%
Unknown 7 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 35%
Environmental Science 11 15%
Biochemistry, Genetics and Molecular Biology 9 12%
Earth and Planetary Sciences 5 7%
Immunology and Microbiology 4 5%
Other 9 12%
Unknown 10 14%
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 07 October 2015.
All research outputs
#13,446,606
of 22,828,180 outputs
Outputs from Frontiers in Microbiology
#10,537
of 24,791 outputs
Outputs of similar age
#126,103
of 267,234 outputs
Outputs of similar age from Frontiers in Microbiology
#160
of 411 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,791 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 54% 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 267,234 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 411 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.