| Title |
Improved Bacteriophage Genome Data is Necessary for Integrating Viral and Bacterial Ecology
|
|---|---|
| Published in |
Microbial Ecology, November 2013
|
| DOI | 10.1007/s00248-013-0325-x |
| Pubmed ID | |
| Authors |
Kyle Bibby |
| Abstract |
The recent rise in "omics"-enabled approaches has lead to improved understanding in many areas of microbial ecology. However, despite the importance that viruses play in a broad microbial ecology context, viral ecology remains largely not integrated into high-throughput microbial ecology studies. A fundamental hindrance to the integration of viral ecology into omics-enabled microbial ecology studies is the lack of suitable reference bacteriophage genomes in reference databases-currently, only 0.001% of bacteriophage diversity is represented in genome sequence databases. This commentary serves to highlight this issue and to promote bacteriophage genome sequencing as a valuable scientific undertaking to both better understand bacteriophage diversity and move towards a more holistic view of microbial ecology. |
X Demographics
The data shown below were collected from the profiles of 32 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 States | 11 | 34% |
| United Kingdom | 6 | 19% |
| Canada | 2 | 6% |
| Australia | 1 | 3% |
| Cameroon | 1 | 3% |
| New Zealand | 1 | 3% |
| Unknown | 10 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 19 | 59% |
| Members of the public | 12 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| South Africa | 1 | 2% |
| Unknown | 40 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 28% |
| Researcher | 12 | 28% |
| Student > Master | 6 | 14% |
| Student > Bachelor | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 5 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 49% |
| Environmental Science | 7 | 16% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Immunology and Microbiology | 3 | 7% |
| Engineering | 2 | 5% |
| Other | 1 | 2% |
| Unknown | 6 | 14% |
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 2017.
All research outputs
#1,978,457
of 24,417,958 outputs
Outputs from Microbial Ecology
#83
of 2,146 outputs
Outputs of similar age
#22,296
of 312,333 outputs
Outputs of similar age from Microbial Ecology
#3
of 20 outputs
Altmetric has tracked 24,417,958 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 2,146 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 96% of its peers.
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We're also able to compare this research output to 20 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 90% of its contemporaries.