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Rapid analysis of metagenomic data using signature-based clustering

Overview of attention for article published in BMC Bioinformatics, December 2018
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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 (88th percentile)

Mentioned by

blogs
1 blog
twitter
9 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Rapid analysis of metagenomic data using signature-based clustering
Published in
BMC Bioinformatics, December 2018
DOI 10.1186/s12859-018-2540-4
Pubmed ID
Authors

Timothy Chappell, Shlomo Geva, James M. Hogan, Flavia Huygens, Irani U. Rathnayake, Stephen Rudd, Wayne Kelly, Dimitri Perrin

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 18%
Student > Master 6 18%
Student > Ph. D. Student 5 15%
Student > Postgraduate 4 12%
Student > Bachelor 3 9%
Other 6 18%
Unknown 4 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 35%
Biochemistry, Genetics and Molecular Biology 6 18%
Computer Science 3 9%
Nursing and Health Professions 2 6%
Medicine and Dentistry 2 6%
Other 3 9%
Unknown 6 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 26 January 2019.
All research outputs
#2,686,243
of 23,498,099 outputs
Outputs from BMC Bioinformatics
#829
of 7,400 outputs
Outputs of similar age
#62,069
of 438,339 outputs
Outputs of similar age from BMC Bioinformatics
#24
of 206 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,400 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 88% 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 438,339 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 206 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.