Viral Metagenomics
Springer US
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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.
|
|---|---|
| Book title |
Viral Metagenomics
|
| Published in |
Methods in molecular biology, January 2024
|
| DOI | 10.1007/978-1-0716-3515-5_2 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-163514-8, 978-1-07-163515-5
|
| Authors |
Rampelli, Simone, Turroni, Silvia, Candela, Marco, Simone Rampelli, Silvia Turroni, Marco Candela |
| Abstract |
ViromeScan is an innovative metagenomic analysis tool that allows characterizing the taxonomy of viral communities from raw data of metagenomics sequencing, efficiently denoising samples from reads of other microorganisms. This means that users can use the same shotgun metagenomic sequencing data to fully characterize complex microbial ecosystems, including bacteria and viruses. Here we describe the analysis procedure with some examples, illustrating the processes computed by ViromeScan from raw data to the final output. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 1 | 50% |
| Other | 1 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 31 December 2023.
All research outputs
#16,506,733
of 25,079,481 outputs
Outputs from Methods in molecular biology
#5,250
of 14,102 outputs
Outputs of similar age
#72,668
of 154,987 outputs
Outputs of similar age from Methods in molecular biology
#66
of 204 outputs
Altmetric has tracked 25,079,481 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,102 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 58% 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 154,987 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 204 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 56% of its contemporaries.