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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MSACompro: protein multiple sequence alignment using predicted secondary structure, solvent accessibility, and residue-residue contacts
|
|---|---|
| Published in |
BMC Bioinformatics, December 2011
|
| DOI | 10.1186/1471-2105-12-472 |
| Pubmed ID | |
| Authors |
Xin Deng, Jianlin Cheng |
| Abstract |
Multiple Sequence Alignment (MSA) is a basic tool for bioinformatics research and analysis. It has been used essentially in almost all bioinformatics tasks such as protein structure modeling, gene and protein function prediction, DNA motif recognition, and phylogenetic analysis. Therefore, improving the accuracy of multiple sequence alignment is important for advancing many bioinformatics fields. |
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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 5% |
| Australia | 1 | 2% |
| Cuba | 1 | 2% |
| Sweden | 1 | 2% |
| United Kingdom | 1 | 2% |
| Spain | 1 | 2% |
| United States | 1 | 2% |
| Poland | 1 | 2% |
| Unknown | 49 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 34% |
| Researcher | 11 | 19% |
| Student > Master | 7 | 12% |
| Student > Bachelor | 6 | 10% |
| Professor > Associate Professor | 4 | 7% |
| Other | 9 | 15% |
| Unknown | 2 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 42% |
| Computer Science | 13 | 22% |
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Chemistry | 3 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 4 | 7% |
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 15 December 2011.
All research outputs
#18,301,870
of 22,659,164 outputs
Outputs from BMC Bioinformatics
#6,278
of 7,240 outputs
Outputs of similar age
#196,382
of 242,485 outputs
Outputs of similar age from BMC Bioinformatics
#83
of 100 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,240 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 242,485 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.