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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
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
1 tweeter
wikipedia
1 Wikipedia page

Citations

dimensions_citation
102 Dimensions

Readers on

mendeley
220 Mendeley
citeulike
18 CiteULike
connotea
9 Connotea
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Title
Published in
BMC Bioinformatics, January 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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 220 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%
Chile 1 <1%
South Africa 1 <1%
Norway 1 <1%
Other 5 2%
Unknown 191 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 50 23%
Student > Ph. D. Student 48 22%
Student > Master 32 15%
Student > Bachelor 27 12%
Professor > Associate Professor 19 9%
Other 33 15%
Unknown 11 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 127 58%
Biochemistry, Genetics and Molecular Biology 35 16%
Computer Science 22 10%
Chemistry 4 2%
Business, Management and Accounting 3 1%
Other 13 6%
Unknown 16 7%

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 03 October 2012.
All research outputs
#680,271
of 3,633,255 outputs
Outputs from BMC Bioinformatics
#644
of 2,289 outputs
Outputs of similar age
#39,217
of 230,282 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 70 outputs
Altmetric has tracked 3,633,255 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,289 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 71% 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 230,282 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 82% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.