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Using Structural Equation Modeling to Understand Interactions Between Bacterial and Archaeal Populations and Volatile Fatty Acid Proportions in the Rumen

Overview of attention for article published in Frontiers in Microbiology, June 2021
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1 X user

Citations

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34 Mendeley
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Title
Using Structural Equation Modeling to Understand Interactions Between Bacterial and Archaeal Populations and Volatile Fatty Acid Proportions in the Rumen
Published in
Frontiers in Microbiology, June 2021
DOI 10.3389/fmicb.2021.611951
Pubmed ID
Authors

Veronica Kaplan-Shabtai, Nagaraju Indugu, Meagan Leslie Hennessy, Bonnie Vecchiarelli, Joseph Samuel Bender, Darko Stefanovski, Camila Flavia De Assis Lage, Susanna Elisabeth Räisänen, Audino Melgar, Krum Nedelkov, Molly Elizabeth Fetter, Andrea Fernandez, Addison Spitzer, Alexander Nikolov Hristov, Dipti Wilhelmina Pitta

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Student > Doctoral Student 3 9%
Unspecified 3 9%
Researcher 3 9%
Professor 2 6%
Other 4 12%
Unknown 11 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 38%
Unspecified 3 9%
Environmental Science 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Mathematics 1 3%
Other 5 15%
Unknown 9 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 June 2021.
All research outputs
#22,823,736
of 25,443,857 outputs
Outputs from Frontiers in Microbiology
#27,001
of 29,374 outputs
Outputs of similar age
#393,185
of 458,663 outputs
Outputs of similar age from Frontiers in Microbiology
#1,047
of 1,097 outputs
Altmetric has tracked 25,443,857 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% 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 458,663 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,097 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.