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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ClaMS: A Classifier for Metagenomic Sequences
|
|---|---|
| Published in |
Environmental Microbiome, November 2011
|
| DOI | 10.4056/sigs.2075298 |
| Pubmed ID | |
| Authors |
Amrita Pati, Lenwood S. Heath, Nikos C. Kyrpides, Natalia Ivanova |
| Abstract |
ClaMS - "Classifier for Metagenomic Sequences" - is a Java application for binning assembled contigs in metagenomes using user-specified training sets and initial parameters. Since ClaMS trains on sequence composition-based genomic signatures, it is much faster than binning tools that rely on alignments to homologs; ClaMS can bin ~20,000 sequences in 3 minutes on a laptop with a 2.4 GH× Intel Core 2 Duo processor and 2 GB RAM. ClaMS is meant to be a desktop application for biologists and can be run on any machine under any Operating System on which the Java Runtime Environment can be installed. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 8% |
| Spain | 2 | 3% |
| Australia | 1 | 1% |
| Sweden | 1 | 1% |
| Argentina | 1 | 1% |
| Turkey | 1 | 1% |
| United Kingdom | 1 | 1% |
| Denmark | 1 | 1% |
| Unknown | 60 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 28% |
| Student > Ph. D. Student | 16 | 22% |
| Student > Master | 10 | 14% |
| Student > Bachelor | 5 | 7% |
| Student > Doctoral Student | 5 | 7% |
| Other | 12 | 16% |
| Unknown | 5 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 50% |
| Biochemistry, Genetics and Molecular Biology | 14 | 19% |
| Computer Science | 7 | 9% |
| Environmental Science | 2 | 3% |
| Mathematics | 2 | 3% |
| Other | 8 | 11% |
| Unknown | 4 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 21 December 2011.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Environmental Microbiome
#579
of 786 outputs
Outputs of similar age
#203,667
of 246,010 outputs
Outputs of similar age from Environmental Microbiome
#11
of 13 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 786 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 8th percentile – i.e., 8% 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 246,010 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.