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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MUSCLE: a multiple sequence alignment method with reduced time and space complexity
|
|---|---|
| Published in |
BMC Bioinformatics, August 2004
|
| DOI | 10.1186/1471-2105-5-113 |
| Pubmed ID | |
| Authors |
Robert C Edgar |
| Abstract |
In a previous paper, we introduced MUSCLE, a new program for creating multiple alignments of protein sequences, giving a brief summary of the algorithm and showing MUSCLE to achieve the highest scores reported to date on four alignment accuracy benchmarks. Here we present a more complete discussion of the algorithm, describing several previously unpublished techniques that improve biological accuracy and / or computational complexity. We introduce a new option, MUSCLE-fast, designed for high-throughput applications. We also describe a new protocol for evaluating objective functions that align two profiles. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 3,539 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 68 | 2% |
| Brazil | 24 | <1% |
| Germany | 19 | <1% |
| United Kingdom | 18 | <1% |
| France | 13 | <1% |
| Netherlands | 9 | <1% |
| Spain | 9 | <1% |
| Mexico | 9 | <1% |
| Canada | 7 | <1% |
| Other | 58 | 2% |
| Unknown | 3305 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 774 | 22% |
| Researcher | 600 | 17% |
| Student > Master | 463 | 13% |
| Student > Bachelor | 376 | 11% |
| Student > Doctoral Student | 164 | 5% |
| Other | 526 | 15% |
| Unknown | 636 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 1479 | 42% |
| Biochemistry, Genetics and Molecular Biology | 704 | 20% |
| Computer Science | 142 | 4% |
| Immunology and Microbiology | 97 | 3% |
| Environmental Science | 90 | 3% |
| Other | 300 | 8% |
| Unknown | 727 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 01 February 2024.
All research outputs
#2,134,710
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#476
of 7,793 outputs
Outputs of similar age
#2,827
of 67,959 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 14 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 93% 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 67,959 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.