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Mendeley readers
Attention Score in Context
| Title |
Genome Annotation Transfer Utility (GATU): rapid annotation of viral genomes using a closely related reference genome
|
|---|---|
| Published in |
BMC Genomics, June 2006
|
| DOI | 10.1186/1471-2164-7-150 |
| Pubmed ID | |
| Authors |
Vasily Tcherepanov, Angelika Ehlers, Chris Upton |
| Abstract |
Since DNA sequencing has become easier and cheaper, an increasing number of closely related viral genomes have been sequenced. However, many of these have been deposited in GenBank without annotations, severely limiting their value to researchers. While maintaining comprehensive genomic databases for a set of virus families at the Viral Bioinformatics Resource Center http://www.biovirus.org and Viral Bioinformatics - Canada http://www.virology.ca, we found that researchers were unnecessarily spending time annotating viral genomes that were close relatives of already annotated viruses. We have therefore designed and implemented a novel tool, Genome Annotation Transfer Utility (GATU), to transfer annotations from a previously annotated reference genome to a new target genome, thereby greatly reducing this laborious task. |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Turkey | 1 | <1% |
| Italy | 1 | <1% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 111 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 24% |
| Student > Ph. D. Student | 23 | 19% |
| Student > Master | 20 | 17% |
| Student > Bachelor | 13 | 11% |
| Professor > Associate Professor | 4 | 3% |
| Other | 13 | 11% |
| Unknown | 17 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 38% |
| Biochemistry, Genetics and Molecular Biology | 22 | 18% |
| Immunology and Microbiology | 10 | 8% |
| Veterinary Science and Veterinary Medicine | 7 | 6% |
| Medicine and Dentistry | 3 | 3% |
| Other | 10 | 8% |
| Unknown | 22 | 18% |
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 14 November 2013.
All research outputs
#4,696,673
of 22,789,076 outputs
Outputs from BMC Genomics
#1,998
of 10,647 outputs
Outputs of similar age
#11,803
of 64,362 outputs
Outputs of similar age from BMC Genomics
#10
of 36 outputs
Altmetric has tracked 22,789,076 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,647 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 80% of its peers.
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 64,362 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 71% of its contemporaries.
We're also able to compare this research output to 36 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 69% of its contemporaries.