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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
  • Among the highest-scoring outputs from this source (#41 of 1,156)
  • 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
226 tweeters

Citations

dimensions_citation
559 Dimensions

Readers on

mendeley
726 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

Twitter Demographics

The data shown below were collected from the profiles of 226 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 726 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 726 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 201 28%
Researcher 132 18%
Student > Master 94 13%
Student > Bachelor 68 9%
Student > Doctoral Student 37 5%
Other 78 11%
Unknown 116 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 200 28%
Biochemistry, Genetics and Molecular Biology 136 19%
Immunology and Microbiology 56 8%
Environmental Science 55 8%
Medicine and Dentistry 41 6%
Other 86 12%
Unknown 152 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 170. 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 10 June 2021.
All research outputs
#148,230
of 19,151,080 outputs
Outputs from Microbiome
#41
of 1,156 outputs
Outputs of similar age
#4,229
of 357,504 outputs
Outputs of similar age from Microbiome
#5
of 230 outputs
Altmetric has tracked 19,151,080 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,156 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.3. 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 357,504 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 230 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.