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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Peptide markers of aminoacyl tRNA synthetases facilitate taxa counting in metagenomic data
|
|---|---|
| Published in |
BMC Genomics, February 2012
|
| DOI | 10.1186/1471-2164-13-65 |
| Pubmed ID | |
| Authors |
Erez Persi, Uri Weingart, Shiri Freilich, David Horn |
| Abstract |
Taxa counting is a major problem faced by analysis of metagenomic data. The most popular method relies on analysis of 16S rRNA sequences, but some studies employ also protein based analyses. It would be advantageous to have a method that is applicable directly to short sequences, of the kind extracted from samples in modern metagenomic research. This is achieved by the technique proposed here. |
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 % |
|---|---|---|
| Chile | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| United States | 1 | 4% |
| Unknown | 22 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 38% |
| Professor | 4 | 17% |
| Student > Master | 3 | 13% |
| Other | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 2 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 58% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Medicine and Dentistry | 2 | 8% |
| Social Sciences | 1 | 4% |
| Chemistry | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 4 | 17% |
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 13 February 2012.
All research outputs
#18,304,230
of 22,662,201 outputs
Outputs from BMC Genomics
#8,141
of 10,612 outputs
Outputs of similar age
#197,651
of 248,330 outputs
Outputs of similar age from BMC Genomics
#191
of 253 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,612 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 248,330 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 253 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.