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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Coupling Bacterioplankton Populations and Environment to Community Function in Coastal Temperate Waters
|
|---|---|
| Published in |
Frontiers in Microbiology, September 2016
|
| DOI | 10.3389/fmicb.2016.01533 |
| Pubmed ID | |
| Authors |
Sachia J. Traving, Mikkel Bentzon-Tilia, Helle Knudsen-Leerbeck, Mustafa Mantikci, Jørgen L. S. Hansen, Colin A. Stedmon, Helle Sørensen, Stiig Markager, Lasse Riemann |
| Abstract |
Bacterioplankton play a key role in marine waters facilitating processes important for carbon cycling. However, the influence of specific bacterial populations and environmental conditions on bacterioplankton community performance remains unclear. The aim of the present study was to identify drivers of bacterioplankton community functions, taking into account the variability in community composition and environmental conditions over seasons, in two contrasting coastal systems. A Least Absolute Shrinkage and Selection Operator (LASSO) analysis of the biological and chemical data obtained from surface waters over a full year indicated that specific bacterial populations were linked to measured functions. Namely, Synechococcus (Cyanobacteria) was strongly correlated with protease activity. Both function and community composition showed seasonal variation. However, the pattern of substrate utilization capacity could not be directly linked to the community dynamics. The overall importance of dissolved organic matter (DOM) parameters in the LASSO models indicate that bacterioplankton respond to the present substrate landscape, with a particular importance of nitrogenous DOM. The identification of common drivers of bacterioplankton community functions in two different systems indicates that the drivers may be of broader relevance in coastal temperate waters. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 60 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 29% |
| Researcher | 9 | 15% |
| Professor > Associate Professor | 6 | 10% |
| Professor | 6 | 10% |
| Student > Master | 6 | 10% |
| Other | 12 | 19% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 35% |
| Environmental Science | 13 | 21% |
| Earth and Planetary Sciences | 8 | 13% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Immunology and Microbiology | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 9 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 October 2016.
All research outputs
#17,817,005
of 22,889,074 outputs
Outputs from Frontiers in Microbiology
#17,266
of 24,936 outputs
Outputs of similar age
#231,570
of 322,819 outputs
Outputs of similar age from Frontiers in Microbiology
#289
of 436 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,936 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 22nd percentile – i.e., 22% 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 322,819 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 436 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.