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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
From Whole-Genome Shotgun Sequencing to Viral Community Profiling: The ViromeScan Tool
|
|---|---|
| Chapter number | 14 |
| Book title |
Viral Metagenomics
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7683-6_14 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7682-9, 978-1-4939-7683-6
|
| Authors |
Simone Rampelli, Silvia Turroni |
| Abstract |
ViromeScan is an innovative metagenomic analysis tool that allows the viral community characterization in terms of taxonomy from raw data of metagenomics sequencing. It efficiently denoises samples from reads of other microorganisms. Users can adopt the same shotgun metagenomic sequencing data to fully characterize complex microbial ecosystems, including bacteria and viruses. Here we apply ViromeScan pipeline to some examples, thus illustrating the processes computed from raw data to the final output. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 31% |
| Student > Master | 4 | 25% |
| Lecturer | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 1 | 6% |
| Other | 3 | 19% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 31% |
| Immunology and Microbiology | 4 | 25% |
| Agricultural and Biological Sciences | 2 | 13% |
| Environmental Science | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 3 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 2018.
All research outputs
#3,296,621
of 23,025,074 outputs
Outputs from Methods in molecular biology
#798
of 13,170 outputs
Outputs of similar age
#75,986
of 442,363 outputs
Outputs of similar age from Methods in molecular biology
#63
of 1,499 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,170 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 93% 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 442,363 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 82% of its contemporaries.
We're also able to compare this research output to 1,499 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.