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A better sequence-read simulator program for metagenomics

Overview of attention for article published in BMC Bioinformatics, September 2014
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
18 tweeters

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
119 Mendeley
citeulike
2 CiteULike
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Title
A better sequence-read simulator program for metagenomics
Published in
BMC Bioinformatics, September 2014
DOI 10.1186/1471-2105-15-s9-s14
Pubmed ID
Authors

Stephen Johnson, Brett Trost, Jeffrey R Long, Vanessa Pittet, Anthony Kusalik

Twitter Demographics

The data shown below were collected from the profiles of 18 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Germany 2 2%
Brazil 2 2%
Sweden 2 2%
Netherlands 1 <1%
France 1 <1%
Turkey 1 <1%
Spain 1 <1%
Canada 1 <1%
Other 0 0%
Unknown 104 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 24%
Researcher 23 19%
Student > Master 23 19%
Student > Bachelor 12 10%
Other 7 6%
Other 18 15%
Unknown 7 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 37%
Biochemistry, Genetics and Molecular Biology 31 26%
Computer Science 20 17%
Engineering 4 3%
Immunology and Microbiology 4 3%
Other 8 7%
Unknown 8 7%

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 28 April 2017.
All research outputs
#2,946,737
of 21,224,592 outputs
Outputs from BMC Bioinformatics
#1,132
of 6,896 outputs
Outputs of similar age
#33,267
of 222,919 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 15 outputs
Altmetric has tracked 21,224,592 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,896 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 done well, scoring higher than 83% 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 222,919 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 85% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.