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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Overview of Virus Metagenomic Classification Methods and Their Biological Applications
|
|---|---|
| Published in |
Frontiers in Microbiology, April 2018
|
| DOI | 10.3389/fmicb.2018.00749 |
| Pubmed ID | |
| Authors |
Sam Nooij, Dennis Schmitz, Harry Vennema, Annelies Kroneman, Marion P. G. Koopmans |
| Abstract |
Metagenomics poses opportunities for clinical and public health virology applications by offering a way to assess complete taxonomic composition of a clinical sample in an unbiased way. However, the techniques required are complicated and analysis standards have yet to develop. This, together with the wealth of different tools and workflows that have been proposed, poses a barrier for new users. We evaluated 49 published computational classification workflows for virus metagenomics in a literature review. To this end, we described the methods of existing workflows by breaking them up into five general steps and assessed their ease-of-use and validation experiments. Performance scores of previous benchmarks were summarized and correlations between methods and performance were investigated. We indicate the potential suitability of the different workflows for (1) time-constrained diagnostics, (2) surveillance and outbreak source tracing, (3) detection of remote homologies (discovery), and (4) biodiversity studies. We provide two decision trees for virologists to help select a workflow for medical or biodiversity studies, as well as directions for future developments in clinical viral metagenomics. |
X Demographics
The data shown below were collected from the profiles of 56 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 | 14 | 25% |
| United Kingdom | 6 | 11% |
| Germany | 5 | 9% |
| Netherlands | 3 | 5% |
| Australia | 2 | 4% |
| Spain | 2 | 4% |
| China | 2 | 4% |
| Sweden | 1 | 2% |
| Canada | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 15 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 40 | 71% |
| Members of the public | 14 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 463 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 463 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 92 | 20% |
| Researcher | 78 | 17% |
| Student > Master | 70 | 15% |
| Student > Bachelor | 44 | 10% |
| Student > Doctoral Student | 25 | 5% |
| Other | 44 | 10% |
| Unknown | 110 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 114 | 25% |
| Biochemistry, Genetics and Molecular Biology | 99 | 21% |
| Immunology and Microbiology | 33 | 7% |
| Environmental Science | 22 | 5% |
| Computer Science | 22 | 5% |
| Other | 47 | 10% |
| Unknown | 126 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 10 March 2021.
All research outputs
#1,311,967
of 24,641,327 outputs
Outputs from Frontiers in Microbiology
#774
of 28,030 outputs
Outputs of similar age
#28,713
of 331,447 outputs
Outputs of similar age from Frontiers in Microbiology
#29
of 599 outputs
Altmetric has tracked 24,641,327 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 28,030 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 97% 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 331,447 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 91% of its contemporaries.
We're also able to compare this research output to 599 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 95% of its contemporaries.