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Effects of Rare Microbiome Taxa Filtering on Statistical Analysis

Overview of attention for article published in Frontiers in Microbiology, January 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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10 X users

Citations

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99 Dimensions

Readers on

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149 Mendeley
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Title
Effects of Rare Microbiome Taxa Filtering on Statistical Analysis
Published in
Frontiers in Microbiology, January 2021
DOI 10.3389/fmicb.2020.607325
Pubmed ID
Authors

Quy Cao, Xinxin Sun, Karun Rajesh, Naga Chalasani, Kayla Gelow, Barry Katz, Vijay H. Shah, Arun J. Sanyal, Ekaterina Smirnova

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 149 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 19%
Researcher 27 18%
Student > Bachelor 15 10%
Student > Master 14 9%
Student > Doctoral Student 5 3%
Other 12 8%
Unknown 47 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 28%
Biochemistry, Genetics and Molecular Biology 22 15%
Environmental Science 11 7%
Immunology and Microbiology 7 5%
Mathematics 2 1%
Other 11 7%
Unknown 55 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 16 January 2021.
All research outputs
#6,377,947
of 25,443,857 outputs
Outputs from Frontiers in Microbiology
#5,820
of 29,374 outputs
Outputs of similar age
#147,629
of 523,304 outputs
Outputs of similar age from Frontiers in Microbiology
#187
of 952 outputs
Altmetric has tracked 25,443,857 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 29,374 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 80% 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 523,304 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 71% of its contemporaries.
We're also able to compare this research output to 952 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.