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Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data

Overview of attention for article published in Microbiome, December 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
2 news outlets
blogs
5 blogs
twitter
202 X users
patent
1 patent

Citations

dimensions_citation
1803 Dimensions

Readers on

mendeley
1417 Mendeley
citeulike
1 CiteULike
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Title
Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data
Published in
Microbiome, December 2018
DOI 10.1186/s40168-018-0605-2
Pubmed ID
Authors

Nicole M. Davis, Diana M. Proctor, Susan P. Holmes, David A. Relman, Benjamin J. Callahan

X Demographics

X Demographics

The data shown below were collected from the profiles of 202 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 1,417 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1417 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 346 24%
Researcher 219 15%
Student > Master 196 14%
Student > Bachelor 124 9%
Student > Doctoral Student 78 6%
Other 148 10%
Unknown 306 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 344 24%
Biochemistry, Genetics and Molecular Biology 246 17%
Immunology and Microbiology 118 8%
Environmental Science 87 6%
Medicine and Dentistry 84 6%
Other 166 12%
Unknown 372 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 156. 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 2023.
All research outputs
#266,685
of 25,728,350 outputs
Outputs from Microbiome
#62
of 1,791 outputs
Outputs of similar age
#5,399
of 431,774 outputs
Outputs of similar age from Microbiome
#1
of 48 outputs
Altmetric has tracked 25,728,350 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,791 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.8. This one has done particularly well, scoring higher than 96% 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 431,774 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.