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Short-Term Dynamics of North Sea Bacterioplankton-Dissolved Organic Matter Coherence on Molecular Level

Overview of attention for article published in Frontiers in Microbiology, March 2016
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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7 X users

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Title
Short-Term Dynamics of North Sea Bacterioplankton-Dissolved Organic Matter Coherence on Molecular Level
Published in
Frontiers in Microbiology, March 2016
DOI 10.3389/fmicb.2016.00321
Pubmed ID
Authors

Judith Lucas, Irina Koester, Antje Wichels, Jutta Niggemann, Thorsten Dittmar, Ulrich Callies, Karen H. Wiltshire, Gunnar Gerdts

Abstract

Remineralization and transformation of dissolved organic matter (DOM) by marine microbes shape the DOM composition and thus, have large impact on global carbon and nutrient cycling. However, information on bacterioplankton-DOM interactions on a molecular level is limited. We examined the variation of bacterial community composition (BCC) at Helgoland Roads (North Sea) in relation to variation of molecular DOM composition and various environmental parameters on short-time scales. Surface water samples were taken daily over a period of 20 days. Bacterial community and molecular DOM composition were assessed via 16S rRNA gene tag sequencing and ultrahigh resolution Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR-MS), respectively. Environmental conditions were driven by a coastal water influx during the first half of the sampling period and the onset of a summer phytoplankton bloom toward the end of the sampling period. These phenomena led to a distinct grouping of bacterial communities and DOM composition which was particularly influenced by total dissolved nitrogen (TDN) concentration, temperature, and salinity, as revealed by distance-based linear regression analyses. Bacterioplankton-DOM interaction was demonstrated in strong correlations between specific bacterial taxa and particular DOM molecules, thus, suggesting potential specialization on particular substrates. We propose that a combination of high resolution techniques, as used in this study, may provide substantial information on substrate generalists and specialists and thus, contribute to prediction of BCC variation.

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X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
United States 1 1%
Denmark 1 1%
Canada 1 1%
Unknown 95 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 25%
Researcher 23 23%
Student > Master 12 12%
Professor 4 4%
Student > Bachelor 4 4%
Other 13 13%
Unknown 18 18%
Readers by discipline Count As %
Environmental Science 23 23%
Agricultural and Biological Sciences 19 19%
Biochemistry, Genetics and Molecular Biology 11 11%
Earth and Planetary Sciences 11 11%
Chemistry 7 7%
Other 6 6%
Unknown 22 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 19 May 2016.
All research outputs
#7,418,990
of 22,856,968 outputs
Outputs from Frontiers in Microbiology
#8,033
of 24,862 outputs
Outputs of similar age
#105,797
of 299,392 outputs
Outputs of similar age from Frontiers in Microbiology
#215
of 567 outputs
Altmetric has tracked 22,856,968 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 24,862 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 67% 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 299,392 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 64% of its contemporaries.
We're also able to compare this research output to 567 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 61% of its contemporaries.