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An expectation-maximization algorithm enables accurate ecological modeling using longitudinal microbiome sequencing data

Overview of attention for article published in Microbiome, August 2019
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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 (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

blogs
1 blog
twitter
29 X users
patent
1 patent

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
92 Mendeley
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Title
An expectation-maximization algorithm enables accurate ecological modeling using longitudinal microbiome sequencing data
Published in
Microbiome, August 2019
DOI 10.1186/s40168-019-0729-z
Pubmed ID
Authors

Chenhao Li, Kern Rei Chng, Junmei Samantha Kwah, Tamar V. Av-Shalom, Lisa Tucker-Kellogg, Niranjan Nagarajan

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 26%
Researcher 20 22%
Student > Master 11 12%
Student > Bachelor 6 7%
Student > Doctoral Student 3 3%
Other 10 11%
Unknown 18 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 22%
Biochemistry, Genetics and Molecular Biology 18 20%
Computer Science 8 9%
Immunology and Microbiology 5 5%
Mathematics 3 3%
Other 14 15%
Unknown 24 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 22 December 2022.
All research outputs
#1,389,361
of 25,248,299 outputs
Outputs from Microbiome
#477
of 1,732 outputs
Outputs of similar age
#28,705
of 348,603 outputs
Outputs of similar age from Microbiome
#15
of 32 outputs
Altmetric has tracked 25,248,299 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,732 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.4. This one has gotten more attention than average, scoring higher than 72% 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 348,603 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 91% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.