Viral Metagenomics
Springer US
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Attention Score in Context
| Chapter title |
Determination of the Mycovirome of a Necrotrophic Fungus.
|
|---|---|
| Book title |
Viral Metagenomics
|
| Published in |
Methods in molecular biology, January 2024
|
| DOI | 10.1007/978-1-0716-3515-5_6 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-163514-8, 978-1-07-163515-5
|
| Authors |
Ruiz-Padilla, Ana, Rodríguez-Romero, Julio L, Pacifico, Davide, Chiapello, Marco, Ayllón, María A, Rodríguez-Romero, Julio L., Ayllón, María A., Ana Ruiz-Padilla, Julio L. Rodríguez-Romero, Davide Pacifico, Marco Chiapello, María A. Ayllón |
| Abstract |
Next-generation sequencing (NGS) of total RNA has allowed the detection of novel viruses infecting different hosts, such as fungi, increasing our knowledge on virus horizontal transfer events among different hosts, virus diversity, and virus evolution. Here, we describe the detailed protocols for the isolation of the plant pathogenic fungus Botrytis cinerea, from grapevine plants showing symptoms of the mold gray disease, the culture and maintenance of the isolated B. cinerea strains, the extraction of total RNA from B. cinerea strains for NGS, the bioinformatics pipeline designed and followed to detect mycoviruses in the sequenced samples, and the validation of the in silico detected mycoviruses by different approaches. |
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.
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As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 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 % |
|---|---|---|
| Other | 1 | 50% |
| Unknown | 1 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 1 | 50% |
| Unknown | 1 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 30 December 2023.
All research outputs
#14,720,143
of 25,076,138 outputs
Outputs from Methods in molecular biology
#3,893
of 14,101 outputs
Outputs of similar age
#55,272
of 153,227 outputs
Outputs of similar age from Methods in molecular biology
#34
of 204 outputs
Altmetric has tracked 25,076,138 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,101 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 71% 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 153,227 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
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 done well, scoring higher than 82% of its contemporaries.