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X Demographics
Mendeley readers
Attention Score in Context
| Title |
microclass: an R-package for 16S taxonomy classification
|
|---|---|
| Published in |
BMC Bioinformatics, March 2017
|
| DOI | 10.1186/s12859-017-1583-2 |
| Pubmed ID | |
| Authors |
Kristian Hovde Liland, Hilde Vinje, Lars Snipen |
| Abstract |
Taxonomic classification based on the 16S rRNA gene sequence is important for the profiling of microbial communities. In addition to giving the best possible accuracy, it is also important to quantify uncertainties in the classifications. We present an R package with tools for making such classifications, where the heavy computations are implemented in C++ but operated through the standard R interface. The user may train classifiers based on specialized data sets, but we also supply a ready-to-use function trained on a comprehensive training data set designed specifically for this purpose. This tool also includes some novel ways to quantify uncertainties in the classifications. Based on input sequences of varying length and quality, we demonstrate how the output from the classifications can be used to obtain high quality taxonomic assignments from 16S sequences within the R computing environment. The package is publicly available at the Comprehensive R Archive Network. |
X Demographics
The data shown below were collected from the profiles of 52 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 | 9 | 17% |
| France | 5 | 10% |
| Spain | 3 | 6% |
| Japan | 3 | 6% |
| Chile | 2 | 4% |
| Canada | 2 | 4% |
| United Kingdom | 2 | 4% |
| Belgium | 1 | 2% |
| Sweden | 1 | 2% |
| Other | 10 | 19% |
| Unknown | 14 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 30 | 58% |
| Members of the public | 21 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| Denmark | 1 | 2% |
| France | 1 | 2% |
| Unknown | 60 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 30% |
| Student > Ph. D. Student | 13 | 21% |
| Student > Master | 11 | 17% |
| Other | 3 | 5% |
| Student > Bachelor | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 7 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 35% |
| Biochemistry, Genetics and Molecular Biology | 15 | 24% |
| Computer Science | 7 | 11% |
| Immunology and Microbiology | 4 | 6% |
| Environmental Science | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 8 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 13 October 2017.
All research outputs
#1,050,066
of 24,488,567 outputs
Outputs from BMC Bioinformatics
#97
of 7,545 outputs
Outputs of similar age
#21,851
of 312,686 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 124 outputs
Altmetric has tracked 24,488,567 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,545 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 98% 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 312,686 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 93% of its contemporaries.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.