| Title |
prot4EST: Translating Expressed Sequence Tags from neglected genomes
|
|---|---|
| Published in |
BMC Bioinformatics, November 2004
|
| DOI | 10.1186/1471-2105-5-187 |
| Pubmed ID | |
| Authors |
James D Wasmuth, Mark L Blaxter |
| Abstract |
The genomes of an increasing number of species are being investigated through generation of expressed sequence tags (ESTs). However, ESTs are prone to sequencing errors and typically define incomplete transcripts, making downstream annotation difficult. Annotation would be greatly improved with robust polypeptide translations. Many current solutions for EST translation require a large number of full-length gene sequences for training purposes, a resource that is not available for the majority of EST projects. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 3% |
| Germany | 2 | 2% |
| Spain | 2 | 2% |
| Norway | 1 | <1% |
| Uruguay | 1 | <1% |
| Switzerland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Brazil | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 103 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 44 | 38% |
| Student > Ph. D. Student | 21 | 18% |
| Professor > Associate Professor | 14 | 12% |
| Student > Doctoral Student | 7 | 6% |
| Student > Master | 5 | 4% |
| Other | 17 | 15% |
| Unknown | 9 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 81 | 69% |
| Biochemistry, Genetics and Molecular Biology | 14 | 12% |
| Environmental Science | 4 | 3% |
| Computer Science | 4 | 3% |
| Medicine and Dentistry | 3 | 3% |
| Other | 2 | 2% |
| Unknown | 9 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 26 November 2014.
All research outputs
#20,580,317
of 25,287,709 outputs
Outputs from BMC Bioinformatics
#6,668
of 7,672 outputs
Outputs of similar age
#143,412
of 149,345 outputs
Outputs of similar age from BMC Bioinformatics
#38
of 39 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 5th percentile – i.e., 5% 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 149,345 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.