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Michigan Publishing

High-Frequency, High-Throughput Quantification of SARS-CoV-2 RNA in Wastewater Settled Solids at Eight Publicly Owned Treatment Works in Northern California Shows Strong Association with COVID-19…

Overview of attention for article published in mSystems, September 2021
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

policy
1 policy source
twitter
21 X users

Citations

dimensions_citation
83 Dimensions

Readers on

mendeley
61 Mendeley
Title
High-Frequency, High-Throughput Quantification of SARS-CoV-2 RNA in Wastewater Settled Solids at Eight Publicly Owned Treatment Works in Northern California Shows Strong Association with COVID-19 Incidence
Published in
mSystems, September 2021
DOI 10.1128/msystems.00829-21
Pubmed ID
Authors

Marlene K. Wolfe, Aaron Topol, Alisha Knudson, Adrian Simpson, Bradley White, Duc J. Vugia, Alexander T. Yu, Linlin Li, Michael Balliet, Pamela Stoddard, George S. Han, Krista R. Wigginton, Alexandria B. Boehm

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 16%
Student > Ph. D. Student 8 13%
Student > Bachelor 7 11%
Professor 3 5%
Student > Doctoral Student 2 3%
Other 5 8%
Unknown 26 43%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 8%
Engineering 5 8%
Immunology and Microbiology 3 5%
Philosophy 2 3%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 11 18%
Unknown 33 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 01 March 2022.
All research outputs
#2,295,654
of 25,482,409 outputs
Outputs from mSystems
#480
of 1,902 outputs
Outputs of similar age
#52,342
of 434,571 outputs
Outputs of similar age from mSystems
#16
of 142 outputs
Altmetric has tracked 25,482,409 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,902 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.1. This one has gotten more attention than average, scoring higher than 74% 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 434,571 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.