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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Classifying short genomic fragments from novel lineages using composition and homology
|
|---|---|
| Published in |
BMC Bioinformatics, August 2011
|
| DOI | 10.1186/1471-2105-12-328 |
| Pubmed ID | |
| Authors |
Donovan H Parks, Norman J MacDonald, Robert G Beiko |
| Abstract |
The assignment of taxonomic attributions to DNA fragments recovered directly from the environment is a vital step in metagenomic data analysis. Assignments can be made using rank-specific classifiers, which assign reads to taxonomic labels from a predetermined level such as named species or strain, or rank-flexible classifiers, which choose an appropriate taxonomic rank for each sequence in a data set. The choice of rank typically depends on the optimal model for a given sequence and on the breadth of taxonomic groups seen in a set of close-to-optimal models. Homology-based (e.g., LCA) and composition-based (e.g., PhyloPythia, TACOA) rank-flexible classifiers have been proposed, but there is at present no hybrid approach that utilizes both homology and composition. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 33% |
| Mexico | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 8% |
| Canada | 4 | 3% |
| Spain | 3 | 2% |
| Netherlands | 2 | 1% |
| United Kingdom | 2 | 1% |
| Denmark | 2 | 1% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| Argentina | 1 | <1% |
| Other | 6 | 4% |
| Unknown | 105 | 76% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 46 | 33% |
| Student > Ph. D. Student | 39 | 28% |
| Professor > Associate Professor | 11 | 8% |
| Student > Master | 10 | 7% |
| Professor | 9 | 7% |
| Other | 18 | 13% |
| Unknown | 5 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 83 | 60% |
| Biochemistry, Genetics and Molecular Biology | 15 | 11% |
| Computer Science | 15 | 11% |
| Medicine and Dentistry | 4 | 3% |
| Immunology and Microbiology | 3 | 2% |
| Other | 12 | 9% |
| Unknown | 6 | 4% |
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 20 September 2011.
All research outputs
#13,352,626
of 22,649,029 outputs
Outputs from BMC Bioinformatics
#4,186
of 7,234 outputs
Outputs of similar age
#77,842
of 120,631 outputs
Outputs of similar age from BMC Bioinformatics
#48
of 74 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,234 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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 120,631 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.