The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Microbial Community Structure and Functional Potential Along a Hypersaline Gradient
|
|---|---|
| Published in |
Frontiers in Microbiology, July 2018
|
| DOI | 10.3389/fmicb.2018.01492 |
| Pubmed ID | |
| Authors |
Jeffrey A. Kimbrel, Nicholas Ballor, Yu-Wei Wu, Maude M. David, Terry C. Hazen, Blake A. Simmons, Steven W. Singer, Janet K. Jansson |
| Abstract |
Salinity is one of the strongest environmental drivers of microbial evolution and community composition. Here we aimed to determine the impact of salt concentrations (2.5, 7.5, and 33.2%) on the microbial community structure of reclaimed saltern ponds near San Francisco, California, and to discover prospective enzymes with potential biotechnological applications. Community compositions were determined by 16S rRNA amplicon sequencing revealing both higher richness and evenness in the pond sediments compared to the water columns. Co-occurrence network analysis additionally uncovered the presence of microbial seed bank communities, potentially primed to respond to rapid changes in salinity. In addition, functional annotation of shotgun metagenomic DNA showed different capabilities if the microbial communities at different salinities for methanogenesis, amino acid metabolism, and carbohydrate-active enzymes. There was an overall shift with increasing salinity in the functional potential for starch degradation, and a decrease in degradation of cellulose and other oligosaccharides. Further, many carbohydrate-active enzymes identified have acidic isoelectric points that have potential biotechnological applications, including deconstruction of biofuel feedstocks under high ionic conditions. Metagenome-assembled genomes (MAGs) of individual halotolerant and halophilic microbes were binned revealing a variety of carbohydrate-degrading potential of individual pond inhabitants. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 16% |
| Ireland | 1 | 5% |
| Australia | 1 | 5% |
| Italy | 1 | 5% |
| Chile | 1 | 5% |
| Unknown | 12 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 58% |
| Scientists | 8 | 42% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 82 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 21% |
| Student > Ph. D. Student | 14 | 17% |
| Student > Doctoral Student | 7 | 9% |
| Student > Bachelor | 7 | 9% |
| Student > Master | 6 | 7% |
| Other | 7 | 9% |
| Unknown | 24 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 22% |
| Biochemistry, Genetics and Molecular Biology | 16 | 20% |
| Environmental Science | 13 | 16% |
| Immunology and Microbiology | 4 | 5% |
| Engineering | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 24 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 20 September 2018.
All research outputs
#2,205,543
of 25,755,403 outputs
Outputs from Frontiers in Microbiology
#1,583
of 29,779 outputs
Outputs of similar age
#43,426
of 340,440 outputs
Outputs of similar age from Frontiers in Microbiology
#63
of 744 outputs
Altmetric has tracked 25,755,403 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,779 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 done particularly well, scoring higher than 94% 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 340,440 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 744 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 91% of its contemporaries.