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

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters
q&a
1 Q&A thread

Citations

dimensions_citation
97 Dimensions

Readers on

mendeley
44 Mendeley
citeulike
10 CiteULike
connotea
3 Connotea
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Title
Published in
BMC Bioinformatics, January 2004
DOI 10.1186/1471-2105-5-6
Pubmed ID
Authors

Daniel A Pollard, Casey M Bergman, Jens Stoye, Susan E Celniker, Michael B Eisen

Abstract

Numerous tools have been developed to align genomic sequences. However, their relative performance in specific applications remains poorly characterized. Alignments of protein-coding sequences typically have been benchmarked against "correct" alignments inferred from structural data. For noncoding sequences, where such independent validation is lacking, simulation provides an effective means to generate "correct" alignments with which to benchmark alignment tools.

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

Geographical breakdown

Country Count As %
United States 3 7%
Australia 2 5%
Germany 1 2%
Switzerland 1 2%
Japan 1 2%
Spain 1 2%
Unknown 35 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 32%
Student > Ph. D. Student 10 23%
Professor > Associate Professor 8 18%
Student > Master 6 14%
Student > Bachelor 4 9%
Other 1 2%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 61%
Biochemistry, Genetics and Molecular Biology 7 16%
Computer Science 5 11%
Environmental Science 1 2%
Physics and Astronomy 1 2%
Other 2 5%
Unknown 1 2%

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
#3,344,668
of 12,373,386 outputs
Outputs from BMC Bioinformatics
#1,534
of 4,576 outputs
Outputs of similar age
#25,566
of 86,521 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 38 outputs
Altmetric has tracked 12,373,386 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,576 research outputs from this source. They receive a mean Attention Score of 4.9. 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 86,521 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 69% of its contemporaries.
We're also able to compare this research output to 38 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 50% of its contemporaries.