↓ Skip to main content

Correction to: Dynamic linear models guide design and analysis of microbiota studies within artificial human guts

Overview of attention for article published in Microbiome, November 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Readers on

mendeley
23 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Correction to: Dynamic linear models guide design and analysis of microbiota studies within artificial human guts
Published in
Microbiome, November 2018
DOI 10.1186/s40168-018-0601-6
Pubmed ID
Authors

Justin D. Silverman, Heather K. Durand, Rachael J. Bloom, Sayan Mukherjee, Lawrence A. David

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 26%
Student > Ph. D. Student 5 22%
Student > Bachelor 2 9%
Professor > Associate Professor 2 9%
Lecturer 1 4%
Other 3 13%
Unknown 4 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 30%
Immunology and Microbiology 3 13%
Biochemistry, Genetics and Molecular Biology 2 9%
Medicine and Dentistry 2 9%
Computer Science 1 4%
Other 3 13%
Unknown 5 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 03 December 2018.
All research outputs
#15,025,752
of 23,114,117 outputs
Outputs from Microbiome
#1,406
of 1,466 outputs
Outputs of similar age
#251,412
of 438,033 outputs
Outputs of similar age from Microbiome
#53
of 56 outputs
Altmetric has tracked 23,114,117 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,466 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.4. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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 438,033 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.