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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Reads2Type: a web application for rapid microbial taxonomy identification
|
|---|---|
| Published in |
BMC Bioinformatics, November 2015
|
| DOI | 10.1186/s12859-015-0829-0 |
| Pubmed ID | |
| Authors |
Dhany Saputra, Simon Rasmussen, Mette V. Larsen, Nizar Haddad, Maria Maddalena Sperotto, Frank M. Aarestrup, Ole Lund, Thomas Sicheritz-Pontén |
| Abstract |
Identification of bacteria may be based on sequencing and molecular analysis of a specific locus such as 16S rRNA, or a set of loci such as in multilocus sequence typing. In the near future, healthcare institutions and routine diagnostic microbiology laboratories may need to sequence the entire genome of microbial isolates. Therefore we have developed Reads2Type, a web-based tool for taxonomy identification based on whole bacterial genome sequence data. Raw sequencing data provided by the user are mapped against a set of marker probes that are derived from currently available bacteria complete genomes. Using a dataset of 1003 whole genome sequenced bacteria from various sequencing platforms, Reads2Type was able to identify the species with 99.5 % accuracy and on the minutes time scale. In comparison with other tools, Reads2Type offers the advantage of not needing to transfer sequencing files, as the entire computational analysis is done on the computer of whom utilizes the web application. This also prevents data privacy issues to arise. The Reads2Type tool is available at http://www.cbs.dtu.dk/~dhany/reads2type.html . |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 17% |
| Germany | 1 | 17% |
| Italy | 1 | 17% |
| France | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 2% |
| Sweden | 1 | 2% |
| Belgium | 1 | 2% |
| Denmark | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 47 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 33% |
| Student > Ph. D. Student | 14 | 27% |
| Student > Bachelor | 4 | 8% |
| Student > Master | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 5 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 42% |
| Biochemistry, Genetics and Molecular Biology | 11 | 21% |
| Computer Science | 6 | 12% |
| Immunology and Microbiology | 2 | 4% |
| Medicine and Dentistry | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 5 | 10% |
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 22 June 2016.
All research outputs
#13,450,711
of 22,834,308 outputs
Outputs from BMC Bioinformatics
#4,200
of 7,288 outputs
Outputs of similar age
#186,216
of 386,751 outputs
Outputs of similar age from BMC Bioinformatics
#75
of 131 outputs
Altmetric has tracked 22,834,308 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 7,288 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 386,751 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 50% of its contemporaries.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.