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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A comprehensive method for amplicon-based and metagenomic characterization of viruses, bacteria, and eukaryotes in freshwater samples
|
|---|---|
| Published in |
Microbiome, July 2016
|
| DOI | 10.1186/s40168-016-0166-1 |
| Pubmed ID | |
| Authors |
Miguel I. Uyaguari-Diaz, Michael Chan, Bonnie L. Chaban, Matthew A. Croxen, Jan F. Finke, Janet E. Hill, Michael A. Peabody, Thea Van Rossum, Curtis A. Suttle, Fiona S. L. Brinkman, Judith Isaac-Renton, Natalie A. Prystajecky, Patrick Tang |
| Abstract |
Studies of environmental microbiota typically target only specific groups of microorganisms, with most focusing on bacteria through taxonomic classification of 16S rRNA gene sequences. For a more holistic understanding of a microbiome, a strategy to characterize the viral, bacterial, and eukaryotic components is necessary. We developed a method for metagenomic and amplicon-based analysis of freshwater samples involving the concentration and size-based separation of eukaryotic, bacterial, and viral fractions. Next-generation sequencing and culture-independent approaches were used to describe and quantify microbial communities in watersheds with different land use in British Columbia. Deep amplicon sequencing was used to investigate the distribution of certain viruses (g23 and RdRp), bacteria (16S rRNA and cpn60), and eukaryotes (18S rRNA and ITS). Metagenomic sequencing was used to further characterize the gene content of the bacterial and viral fractions at both taxonomic and functional levels. This study provides a systematic approach to separate and characterize eukaryotic-, bacterial-, and viral-sized particles. Methodologies described in this research have been applied in temporal and spatial studies to study the impact of land use on watershed microbiomes in British Columbia. |
X Demographics
The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 12% |
| United States | 3 | 12% |
| Netherlands | 2 | 8% |
| Canada | 2 | 8% |
| France | 2 | 8% |
| Spain | 1 | 4% |
| Austria | 1 | 4% |
| Nigeria | 1 | 4% |
| Ireland | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 56% |
| Scientists | 10 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 306 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | <1% |
| France | 1 | <1% |
| Sweden | 1 | <1% |
| South Africa | 1 | <1% |
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 299 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 67 | 22% |
| Student > Ph. D. Student | 64 | 21% |
| Student > Master | 48 | 16% |
| Student > Bachelor | 23 | 8% |
| Student > Doctoral Student | 13 | 4% |
| Other | 39 | 13% |
| Unknown | 52 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 93 | 30% |
| Biochemistry, Genetics and Molecular Biology | 60 | 20% |
| Environmental Science | 24 | 8% |
| Immunology and Microbiology | 14 | 5% |
| Medicine and Dentistry | 12 | 4% |
| Other | 34 | 11% |
| Unknown | 69 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 01 December 2021.
All research outputs
#1,190,641
of 25,552,933 outputs
Outputs from Microbiome
#361
of 1,778 outputs
Outputs of similar age
#22,276
of 370,388 outputs
Outputs of similar age from Microbiome
#9
of 26 outputs
Altmetric has tracked 25,552,933 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,778 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.0. This one has done well, scoring higher than 79% 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 370,388 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 93% of its contemporaries.
We're also able to compare this research output to 26 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 69% of its contemporaries.