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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The accuracy of several multiple sequence alignment programs for proteins
|
|---|---|
| Published in |
BMC Bioinformatics, October 2006
|
| DOI | 10.1186/1471-2105-7-471 |
| Pubmed ID | |
| Authors |
Paulo AS Nuin, Zhouzhi Wang, Elisabeth RM Tillier |
| Abstract |
There have been many algorithms and software programs implemented for the inference of multiple sequence alignments of protein and DNA sequences. The "true" alignment is usually unknown due to the incomplete knowledge of the evolutionary history of the sequences, making it difficult to gauge the relative accuracy of the programs. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 262 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 2% |
| Canada | 5 | 2% |
| United States | 4 | 2% |
| Germany | 3 | 1% |
| Australia | 2 | <1% |
| Brazil | 2 | <1% |
| Sweden | 1 | <1% |
| South Africa | 1 | <1% |
| Chile | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 234 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 52 | 20% |
| Researcher | 52 | 20% |
| Student > Master | 34 | 13% |
| Student > Bachelor | 31 | 12% |
| Professor > Associate Professor | 20 | 8% |
| Other | 38 | 15% |
| Unknown | 35 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 126 | 48% |
| Biochemistry, Genetics and Molecular Biology | 45 | 17% |
| Computer Science | 25 | 10% |
| Chemistry | 6 | 2% |
| Business, Management and Accounting | 3 | 1% |
| Other | 17 | 6% |
| Unknown | 40 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 2023.
All research outputs
#6,378,310
of 22,662,201 outputs
Outputs from BMC Bioinformatics
#2,471
of 7,242 outputs
Outputs of similar age
#21,048
of 68,249 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 48 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,242 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 gotten more attention than average, scoring higher than 64% 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 68,249 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 67% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.