| Title |
The Genome Reverse Compiler: an explorative annotation tool
|
|---|---|
| Published in |
BMC Bioinformatics, January 2009
|
| DOI | 10.1186/1471-2105-10-35 |
| Pubmed ID | |
| Authors |
Andrew S Warren, João Carlos Setubal |
| Abstract |
As sequencing costs have decreased, whole genome sequencing has become a viable and integral part of biological laboratory research. However, the tools with which genes can be found and functionally characterized have not been readily adapted to be part of the everyday biological sciences toolkit. Most annotation pipelines remain as a service provided by large institutions or come as an unwieldy conglomerate of independent components, each requiring their own setup and maintenance. |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Norway | 1 | 2% |
| Italy | 1 | 2% |
| Germany | 1 | 2% |
| Brazil | 1 | 2% |
| Austria | 1 | 2% |
| Mexico | 1 | 2% |
| Sweden | 1 | 2% |
| Unknown | 51 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 32% |
| Student > Ph. D. Student | 12 | 20% |
| Student > Bachelor | 5 | 8% |
| Professor | 5 | 8% |
| Student > Master | 5 | 8% |
| Other | 9 | 15% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 63% |
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Computer Science | 5 | 8% |
| Immunology and Microbiology | 2 | 3% |
| Medicine and Dentistry | 2 | 3% |
| Other | 1 | 2% |
| Unknown | 5 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 30 January 2009.
All research outputs
#3,249,865
of 22,655,397 outputs
Outputs from BMC Bioinformatics
#1,221
of 7,236 outputs
Outputs of similar age
#16,666
of 170,627 outputs
Outputs of similar age from BMC Bioinformatics
#8
of 59 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,236 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 82% 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 170,627 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.