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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Seforta, an integrated tool for detecting the signature of selection in coding sequences
|
|---|---|
| Published in |
BMC Research Notes, April 2014
|
| DOI | 10.1186/1756-0500-7-240 |
| Pubmed ID | |
| Authors |
Salvatore Camiolo, Sara Melito, Giampiera Milia, Andrea Porceddu |
| Abstract |
The majority of amino acid residues are encoded by more than one codon, and a bias in the usage of such synonymous codons has been repeatedly demonstrated. One assumption is that this phenomenon has evolved to improve the efficiency of translation by reducing the time required for the recruitment of isoacceptors. The most abundant tRNA species are preferred at sites on the protein which are key for its functionality, a behavior which has been termed "translational accuracy". Although observed in many species, as yet no public domain software has been made available for its quantification. |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 27% |
| Student > Bachelor | 2 | 18% |
| Student > Master | 2 | 18% |
| Professor | 1 | 9% |
| Professor > Associate Professor | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 1 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 27% |
| Biochemistry, Genetics and Molecular Biology | 2 | 18% |
| Engineering | 2 | 18% |
| Computer Science | 2 | 18% |
| Veterinary Science and Veterinary Medicine | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 1 | 9% |
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 October 2014.
All research outputs
#15,330,390
of 23,577,654 outputs
Outputs from BMC Research Notes
#2,150
of 4,303 outputs
Outputs of similar age
#116,332
of 204,907 outputs
Outputs of similar age from BMC Research Notes
#39
of 76 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,303 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 46th percentile – i.e., 46% 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 204,907 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.