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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SNIT: SNP identification for strain typing
|
|---|---|
| Published in |
Source Code for Biology and Medicine, September 2011
|
| DOI | 10.1186/1751-0473-6-14 |
| Pubmed ID | |
| Authors |
Ravi Vijaya Satya, Nela Zavaljevski, Jaques Reifman |
| Abstract |
With ever-increasing numbers of microbial genomes being sequenced, efficient tools are needed to perform strain-level identification of any newly sequenced genome. Here, we present the SNP identification for strain typing (SNIT) pipeline, a fast and accurate software system that compares a newly sequenced bacterial genome with other genomes of the same species to identify single nucleotide polymorphisms (SNPs) and small insertions/deletions (indels). Based on this information, the pipeline analyzes the polymorphic loci present in all input genomes to identify the genome that has the fewest differences with the newly sequenced genome. Similarly, for each of the other genomes, SNIT identifies the input genome with the fewest differences. Results from five bacterial species show that the SNIT pipeline identifies the correct closest neighbor with 75% to 100% accuracy. The SNIT pipeline is available for download at http://www.bhsai.org/snit.html. |
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 % |
|---|---|---|
| Sweden | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 4% |
| Sweden | 1 | 4% |
| Belgium | 1 | 4% |
| China | 1 | 4% |
| United States | 1 | 4% |
| Unknown | 22 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 48% |
| Student > Ph. D. Student | 3 | 11% |
| Professor | 2 | 7% |
| Professor > Associate Professor | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 5 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 59% |
| Biochemistry, Genetics and Molecular Biology | 4 | 15% |
| Computer Science | 4 | 15% |
| Environmental Science | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 1 | 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 08 February 2012.
All research outputs
#14,142,788
of 22,662,201 outputs
Outputs from Source Code for Biology and Medicine
#75
of 127 outputs
Outputs of similar age
#83,104
of 125,716 outputs
Outputs of similar age from Source Code for Biology and Medicine
#2
of 3 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 36th percentile – i.e., 36% 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 125,716 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.