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MultiSeq: unifying sequence and structure data for evolutionary analysis

Overview of attention for article published in BMC Bioinformatics, August 2006
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
348 Dimensions

Readers on

mendeley
270 Mendeley
citeulike
5 CiteULike
connotea
4 Connotea
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Title
MultiSeq: unifying sequence and structure data for evolutionary analysis
Published in
BMC Bioinformatics, August 2006
DOI 10.1186/1471-2105-7-382
Pubmed ID
Authors

Elijah Roberts, John Eargle, Dan Wright, Zaida Luthey-Schulten

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 270 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
Chile 2 <1%
Colombia 1 <1%
Germany 1 <1%
France 1 <1%
Brazil 1 <1%
Turkey 1 <1%
India 1 <1%
Sweden 1 <1%
Other 2 <1%
Unknown 252 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 83 31%
Researcher 45 17%
Student > Master 27 10%
Student > Bachelor 26 10%
Professor > Associate Professor 16 6%
Other 45 17%
Unknown 28 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 69 26%
Biochemistry, Genetics and Molecular Biology 65 24%
Chemistry 47 17%
Physics and Astronomy 16 6%
Computer Science 15 6%
Other 22 8%
Unknown 36 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 13 October 2022.
All research outputs
#5,953,365
of 23,509,982 outputs
Outputs from BMC Bioinformatics
#2,190
of 7,404 outputs
Outputs of similar age
#15,823
of 55,161 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 32 outputs
Altmetric has tracked 23,509,982 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,404 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 70% 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 55,161 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 70% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.