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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Viral Double-Stranded RNAs (dsRNAs) from Plants: Alternative Nucleic Acid Substrates for High-Throughput Sequencing
|
---|---|
Chapter number | 4 |
Book title |
Viral Metagenomics
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7683-6_4 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7682-9, 978-1-4939-7683-6
|
Authors |
Armelle Marais, Chantal Faure, Bernard Bergey, Thierry Candresse |
Abstract |
High-throughput sequencing (or next-generation sequencing-NGS) is an emerging technology that allows the detection of plant viruses without any prior knowledge. Various sequencing techniques and various templates can be used as substrate for NGS. This chapter describes an optimized protocol for the extraction of double-stranded RNAs (dsRNAs) from a wide range of plants and for their random amplification prior to NGS sequencing. |
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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 25 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 28% |
Student > Master | 5 | 20% |
Student > Doctoral Student | 2 | 8% |
Student > Ph. D. Student | 2 | 8% |
Student > Postgraduate | 2 | 8% |
Other | 4 | 16% |
Unknown | 3 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 13 | 52% |
Biochemistry, Genetics and Molecular Biology | 6 | 24% |
Environmental Science | 1 | 4% |
Immunology and Microbiology | 1 | 4% |
Unknown | 4 | 16% |
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 02 March 2018.
All research outputs
#14,968,843
of 23,025,074 outputs
Outputs from Methods in molecular biology
#4,731
of 13,170 outputs
Outputs of similar age
#255,768
of 442,363 outputs
Outputs of similar age from Methods in molecular biology
#508
of 1,499 outputs
Altmetric has tracked 23,025,074 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 13,170 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 59% 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 is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
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 gotten more attention than average, scoring higher than 60% of its contemporaries.