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Overview of attention for article published in BMC Bioinformatics, January 2004
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)

Mentioned by

2 tweeters
2 patents
1 Wikipedia page
1 Q&A thread


4365 Dimensions

Readers on

2125 Mendeley
47 CiteULike
9 Connotea
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Published in
BMC Bioinformatics, January 2004
DOI 10.1186/1471-2105-5-113
Pubmed ID

Robert C Edgar


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 Here we present a more complete discussion of the algorithm, describing several previously unpublished techniques that improve biological accuracy and / or computational complexity.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.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2,125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 68 3%
Brazil 26 1%
Germany 20 <1%
United Kingdom 19 <1%
France 13 <1%
Netherlands 10 <1%
Mexico 9 <1%
Spain 9 <1%
Canada 7 <1%
Other 62 3%
Unknown 1882 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 587 28%
Researcher 447 21%
Student > Master 293 14%
Student > Bachelor 204 10%
Professor > Associate Professor 105 5%
Other 357 17%
Unknown 132 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 1242 58%
Biochemistry, Genetics and Molecular Biology 341 16%
Computer Science 109 5%
Environmental Science 58 3%
Immunology and Microbiology 43 2%
Other 157 7%
Unknown 175 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 March 2018.
All research outputs
of 12,651,470 outputs
Outputs from BMC Bioinformatics
of 4,704 outputs
Outputs of similar age
of 85,296 outputs
Outputs of similar age from BMC Bioinformatics
of 1 outputs
Altmetric has tracked 12,651,470 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,704 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 87% 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 85,296 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them