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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Full-Length 16S rRNA Gene Analysis Using Long-Read Nanopore Sequencing for Rapid Identification of Bacteria from Clinical Specimens.
|
|---|---|
| Chapter number | 14 |
| Book title |
Nanopore Sequencing
|
| Published in |
Methods in molecular biology, January 2023
|
| DOI | 10.1007/978-1-0716-2996-3_14 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-162995-6, 978-1-07-162996-3
|
| Authors |
Matsuo, Yoshiyuki |
| Abstract |
Amplicon sequencing of the 16S ribosomal RNA (rRNA) gene is a practical and reliable measure for taxonomic profiling of bacterial communities. This chapter describes the detailed workflow for full-length 16S rRNA gene amplicon analysis using nanopore sequencing and bioinformatics pipelines to analyze nanopore sequencing data for taxonomic assignment. This approach offers a higher taxonomic resolution for bacterial identification from clinical specimens with a markedly reduced timeframe and improved versatility. |
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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer > Senior Lecturer | 1 | 20% |
| Student > Ph. D. Student | 1 | 20% |
| Researcher | 1 | 20% |
| Unknown | 2 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 20% |
| Agricultural and Biological Sciences | 1 | 20% |
| Unknown | 3 | 60% |
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 14 February 2023.
All research outputs
#15,181,211
of 23,351,247 outputs
Outputs from Methods in molecular biology
#4,839
of 13,337 outputs
Outputs of similar age
#209,032
of 426,097 outputs
Outputs of similar age from Methods in molecular biology
#127
of 391 outputs
Altmetric has tracked 23,351,247 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 13,337 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 426,097 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 391 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 59% of its contemporaries.