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

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
2 tweeters
q&a
1 Q&A thread

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
49 Mendeley
citeulike
9 CiteULike
connotea
1 Connotea
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Title
Published in
BMC Bioinformatics, January 2006
DOI 10.1186/1471-2105-7-376
Pubmed ID
Authors

Daniel A Pollard, Alan M Moses, Venky N Iyer, Michael B Eisen

Abstract

Molecular evolutionary studies of noncoding sequences rely on multiple alignments. Yet how multiple alignment accuracy varies across sequence types, tree topologies, divergences and tools, and further how this variation impacts specific inferences, remains unclear.

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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 10%
Chile 2 4%
Spain 2 4%
Italy 1 2%
Norway 1 2%
Indonesia 1 2%
Poland 1 2%
Unknown 36 73%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 29%
Researcher 14 29%
Professor > Associate Professor 7 14%
Student > Bachelor 2 4%
Lecturer 2 4%
Other 8 16%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 67%
Biochemistry, Genetics and Molecular Biology 6 12%
Computer Science 6 12%
Physics and Astronomy 1 2%
Unknown 3 6%

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 13 November 2012.
All research outputs
#1,149,306
of 5,041,086 outputs
Outputs from BMC Bioinformatics
#999
of 2,894 outputs
Outputs of similar age
#14,566
of 60,799 outputs
Outputs of similar age from BMC Bioinformatics
#29
of 82 outputs
Altmetric has tracked 5,041,086 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,894 research outputs from this source. They receive a mean Attention Score of 5.0. 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 60,799 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 75% of its contemporaries.
We're also able to compare this research output to 82 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 63% of its contemporaries.