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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Bacterial Metabarcoding by 16S rRNA Gene Ion Torrent Amplicon Sequencing.
|
|---|---|
| Chapter number | 5 |
| Book title |
Bacterial Pangenomics
|
| Published in |
Methods in molecular biology, October 2014
|
| DOI | 10.1007/978-1-4939-1720-4_5 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-1719-8, 978-1-4939-1720-4
|
| Authors |
Fantini E, Gianese G, Giuliano G, Fiore A, Elio Fantini, Giulio Gianese, Giovanni Giuliano, Alessia Fiore, Fantini, Elio, Gianese, Giulio, Giuliano, Giovanni, Fiore, Alessia |
| Abstract |
Ion Torrent is a next generation sequencing technology based on the detection of hydrogen ions produced during DNA chain elongation; this technology allows analyzing and characterizing genomes, genes, and species. Here, we describe an Ion Torrent procedure applied to the metagenomic analysis of 16S rRNA gene amplicons to study the bacterial diversity in food and environmental samples. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 2% |
| Canada | 1 | 2% |
| South Africa | 1 | 2% |
| Unknown | 45 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 35% |
| Student > Master | 6 | 13% |
| Student > Bachelor | 5 | 10% |
| Student > Ph. D. Student | 5 | 10% |
| Student > Postgraduate | 5 | 10% |
| Other | 6 | 13% |
| Unknown | 4 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 54% |
| Biochemistry, Genetics and Molecular Biology | 8 | 17% |
| Immunology and Microbiology | 2 | 4% |
| Medicine and Dentistry | 2 | 4% |
| Computer Science | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 7 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 24 June 2015.
All research outputs
#7,477,223
of 23,498,099 outputs
Outputs from Methods in molecular biology
#2,294
of 13,368 outputs
Outputs of similar age
#82,402
of 261,989 outputs
Outputs of similar age from Methods in molecular biology
#13
of 126 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 13,368 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 82% 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 261,989 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 67% of its contemporaries.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.