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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Consistency of metagenomic assignment programs in simulated and real data
|
|---|---|
| Published in |
BMC Bioinformatics, March 2014
|
| DOI | 10.1186/1471-2105-15-90 |
| Pubmed ID | |
| Authors |
Koldo Garcia-Etxebarria, Marc Garcia-Garcerà, Francesc Calafell |
| Abstract |
Metagenomics is the genomic study of uncultured environmental samples, which has been greatly facilitated by the advent of shotgun-sequencing technologies. One of the main focuses of metagenomics is the discovery of previously uncultured microorganisms, which makes the assignment of sequences to a particular taxon a challenge and a crucial step. Recently, several methods have been developed to perform this task, based on different methodologies such as sequence composition or sequence similarity. The sequence composition methods have the ability to completely assign the whole dataset. However, their use in metagenomics and the study of their performance with real data is limited. In this work, we assess the consistency of three different methods (BLAST + Lowest Common Ancestor, Phymm, and Naïve Bayesian Classifier) in assigning real and simulated sequence reads. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 38% |
| United States | 2 | 25% |
| Norway | 1 | 13% |
| Germany | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 63% |
| Members of the public | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 3% |
| United States | 3 | 3% |
| Germany | 2 | 2% |
| Spain | 2 | 2% |
| Japan | 2 | 2% |
| Sweden | 1 | 1% |
| Unknown | 81 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 28% |
| Student > Ph. D. Student | 22 | 23% |
| Student > Master | 14 | 15% |
| Professor | 6 | 6% |
| Student > Doctoral Student | 6 | 6% |
| Other | 14 | 15% |
| Unknown | 6 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 47 | 50% |
| Biochemistry, Genetics and Molecular Biology | 13 | 14% |
| Computer Science | 11 | 12% |
| Environmental Science | 4 | 4% |
| Earth and Planetary Sciences | 2 | 2% |
| Other | 8 | 9% |
| Unknown | 9 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 29 April 2014.
All research outputs
#6,088,061
of 22,751,628 outputs
Outputs from BMC Bioinformatics
#2,292
of 7,268 outputs
Outputs of similar age
#57,882
of 224,799 outputs
Outputs of similar age from BMC Bioinformatics
#33
of 101 outputs
Altmetric has tracked 22,751,628 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,268 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 68% 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 224,799 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 74% of its contemporaries.
We're also able to compare this research output to 101 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 66% of its contemporaries.