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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PhyloToAST: Bioinformatics tools for species-level analysis and visualization of complex microbial datasets
|
|---|---|
| Published in |
Scientific Reports, June 2016
|
| DOI | 10.1038/srep29123 |
| Pubmed ID | |
| Authors |
Shareef M. Dabdoub, Megan L. Fellows, Akshay D. Paropkari, Matthew R. Mason, Sarandeep S. Huja, Alexandra A. Tsigarida, Purnima S. Kumar |
| Abstract |
The 16S rRNA gene is widely used for taxonomic profiling of microbial ecosystems; and recent advances in sequencing chemistry have allowed extremely large numbers of sequences to be generated from minimal amounts of biological samples. Analysis speed and resolution of data to species-level taxa are two important factors in large-scale explorations of complex microbiomes using 16S sequencing. We present here new software, Phylogenetic Tools for Analysis of Species-level Taxa (PhyloToAST), that completely integrates with the QIIME pipeline to improve analysis speed, reduce primer bias (requiring two sequencing primers), enhance species-level analysis, and add new visualization tools. The code is free and open source, and can be accessed at http://phylotoast.org. |
X Demographics
The data shown below were collected from the profiles of 27 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 37% |
| France | 2 | 7% |
| Canada | 2 | 7% |
| Australia | 1 | 4% |
| Ireland | 1 | 4% |
| Finland | 1 | 4% |
| Chile | 1 | 4% |
| Spain | 1 | 4% |
| Mexico | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 7 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 56% |
| Scientists | 12 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Switzerland | 1 | <1% |
| Netherlands | 1 | <1% |
| Ireland | 1 | <1% |
| Canada | 1 | <1% |
| Mexico | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 102 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 21% |
| Researcher | 23 | 21% |
| Student > Master | 15 | 14% |
| Student > Bachelor | 12 | 11% |
| Professor | 4 | 4% |
| Other | 12 | 11% |
| Unknown | 20 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 34% |
| Biochemistry, Genetics and Molecular Biology | 18 | 17% |
| Environmental Science | 6 | 6% |
| Computer Science | 5 | 5% |
| Medicine and Dentistry | 4 | 4% |
| Other | 14 | 13% |
| Unknown | 25 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 31 May 2018.
All research outputs
#1,736,742
of 25,736,439 outputs
Outputs from Scientific Reports
#16,234
of 142,703 outputs
Outputs of similar age
#30,888
of 368,144 outputs
Outputs of similar age from Scientific Reports
#452
of 3,774 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 142,703 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one has done well, scoring higher than 88% 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 368,144 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 3,774 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.