Viral Metagenomics
Springer US
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Attention Score in Context
| Chapter title |
Identification of DNA Viruses in Ancient DNA from Herbarium Samples.
|
|---|---|
| Chapter number | 15 |
| Book title |
Viral Metagenomics
|
| Published in |
Methods in molecular biology, January 2024
|
| DOI | 10.1007/978-1-0716-3515-5_15 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-163514-8, 978-1-07-163515-5
|
| Authors |
Grasso, Gianluca, Rotunno, Silvia, Debruyne, Régis, Bittner, Lucie, Miozzi, Laura, Marmeisse, Roland, Bianciotto, Valeria |
| Abstract |
Herbaria encompass millions of plant specimens, mostly collected in the nineteenth and twentieth centuries that can represent a key resource for investigating the history and evolution of phytopathogens. In the last years, the application of high-throughput sequencing technologies for the analysis of ancient nucleic acids has revolutionized the study of ancient pathogens including viruses, allowing the reconstruction of historical genomic viral sequences, improving phylogenetic based molecular dating, and providing essential insight into plant virus ecology. In this chapter, we describe a protocol to reconstruct ancient plant and soil viral sequences starting from highly fragmented ancient DNA extracted from herbarium plants and their associated rhizospheric soil. Following Illumina high-throughput sequencing, sequence data are de novo assembled, and DNA viral sequences are selected, according to their similarity with known viruses. |
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 % |
|---|---|---|
| Japan | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
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 06 January 2024.
All research outputs
#16,535,778
of 25,117,541 outputs
Outputs from Methods in molecular biology
#5,261
of 14,117 outputs
Outputs of similar age
#82,446
of 175,095 outputs
Outputs of similar age from Methods in molecular biology
#67
of 215 outputs
Altmetric has tracked 25,117,541 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 14,117 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.
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We're also able to compare this research output to 215 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 57% of its contemporaries.