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X Demographics
Mendeley readers
Attention Score in Context
| Title |
VirAmp: a galaxy-based viral genome assembly pipeline
|
|---|---|
| Published in |
Giga Science, April 2015
|
| DOI | 10.1186/s13742-015-0060-y |
| Pubmed ID | |
| Authors |
Yinan Wan, Daniel W Renner, Istvan Albert, Moriah L Szpara |
| Abstract |
Advances in next generation sequencing make it possible to obtain high-coverage sequence data for large numbers of viral strains in a short time. However, since most bioinformatics tools are developed for command line use, the selection and accessibility of computational tools for genome assembly and variation analysis limits the ability of individual labs to perform further bioinformatics analysis. We have developed a multi-step viral genome assembly pipeline named VirAmp, which combines existing tools and techniques and presents them to end users via a web-enabled Galaxy interface. Our pipeline allows users to assemble, analyze, and interpret high coverage viral sequencing data with an ease and efficiency that was not possible previously. Our software makes a large number of genome assembly and related tools available to life scientists and automates the currently recommended best practices into a single, easy to use interface. We tested our pipeline with three different datasets from human herpes simplex virus (HSV). VirAmp provides a user-friendly interface and a complete pipeline for viral genome analysis. We make our software available via an Amazon Elastic Cloud disk image that can be easily launched by anyone with an Amazon web service account. A fully functional demonstration instance of our system can be found at http://viramp.com/. We also maintain detailed documentation on each tool and methodology at http://docs.viramp.com. |
X Demographics
The data shown below were collected from the profiles of 18 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 | 5 | 28% |
| United States | 3 | 17% |
| India | 2 | 11% |
| Canada | 1 | 6% |
| France | 1 | 6% |
| Germany | 1 | 6% |
| Hong Kong | 1 | 6% |
| Unknown | 4 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 67% |
| Scientists | 4 | 22% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| France | 1 | <1% |
| Hong Kong | 1 | <1% |
| Brazil | 1 | <1% |
| Switzerland | 1 | <1% |
| Peru | 1 | <1% |
| United Kingdom | 1 | <1% |
| Belgium | 1 | <1% |
| Argentina | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 91 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 27% |
| Student > Ph. D. Student | 26 | 26% |
| Student > Bachelor | 8 | 8% |
| Other | 6 | 6% |
| Professor > Associate Professor | 6 | 6% |
| Other | 18 | 18% |
| Unknown | 10 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 42 | 42% |
| Biochemistry, Genetics and Molecular Biology | 22 | 22% |
| Computer Science | 7 | 7% |
| Immunology and Microbiology | 3 | 3% |
| Engineering | 3 | 3% |
| Other | 9 | 9% |
| Unknown | 15 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 21 December 2023.
All research outputs
#2,289,834
of 25,559,053 outputs
Outputs from Giga Science
#458
of 1,173 outputs
Outputs of similar age
#28,557
of 279,675 outputs
Outputs of similar age from Giga Science
#7
of 17 outputs
Altmetric has tracked 25,559,053 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 1,173 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.7. This one has gotten more attention than average, scoring higher than 60% 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 279,675 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 89% of its contemporaries.
We're also able to compare this research output to 17 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 58% of its contemporaries.