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Mendeley readers
Attention Score in Context
| Title |
RASTA-Bacteria: a web-based tool for identifying toxin-antitoxin loci in prokaryotes
|
|---|---|
| Published in |
Genome Biology, August 2007
|
| DOI | 10.1186/gb-2007-8-8-r155 |
| Pubmed ID | |
| Authors |
Emeric W Sevin, Frédérique Barloy-Hubler |
| Abstract |
Toxin/antitoxin (TA) systems, viewed as essential regulators of growth arrest and programmed cell death, are widespread among prokaryotes, but remain sparsely annotated. We present RASTA-Bacteria, an automated method allowing quick and reliable identification of TA loci in sequenced prokaryotic genomes, whether they are annotated open reading frames or not. The tool successfully confirmed all reported TA systems, and spotted new putative loci upon screening of sequenced genomes. RASTA-Bacteria is publicly available at http://genoweb.univ-rennes1.fr/duals/RASTA-Bacteria. |
Mendeley readers
The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| India | 2 | 1% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Israel | 1 | <1% |
| Slovakia | 1 | <1% |
| Slovenia | 1 | <1% |
| Belgium | 1 | <1% |
| United States | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 179 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 49 | 26% |
| Researcher | 36 | 19% |
| Student > Master | 23 | 12% |
| Student > Bachelor | 16 | 8% |
| Student > Doctoral Student | 9 | 5% |
| Other | 30 | 16% |
| Unknown | 28 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 87 | 46% |
| Biochemistry, Genetics and Molecular Biology | 42 | 22% |
| Immunology and Microbiology | 17 | 9% |
| Environmental Science | 3 | 2% |
| Medicine and Dentistry | 2 | 1% |
| Other | 9 | 5% |
| Unknown | 31 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 25 January 2021.
All research outputs
#5,446,210
of 25,371,288 outputs
Outputs from Genome Biology
#2,945
of 4,467 outputs
Outputs of similar age
#15,048
of 76,004 outputs
Outputs of similar age from Genome Biology
#15
of 40 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 32nd percentile – i.e., 32% 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 76,004 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 70% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.