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Early Warning of COVID-19 in Tokyo via Wastewater-based Epidemiology: How Feasible It Really Is?

Overview of attention for article published in Journal of Water and Environment Technology, January 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 (80th percentile)

Mentioned by

twitter
19 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Early Warning of COVID-19 in Tokyo via Wastewater-based Epidemiology: How Feasible It Really Is?
Published in
Journal of Water and Environment Technology, January 2021
DOI 10.2965/jwet.21-024
Authors

Yifan Zhu, Wakana Oishi, Mayuko Saito, Masaaki Kitajima, Daisuke Sano

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 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 %
Researcher 8 24%
Student > Bachelor 2 6%
Professor > Associate Professor 2 6%
Student > Master 2 6%
Student > Ph. D. Student 2 6%
Other 3 9%
Unknown 15 44%
Readers by discipline Count As %
Environmental Science 6 18%
Agricultural and Biological Sciences 3 9%
Engineering 3 9%
Social Sciences 2 6%
Nursing and Health Professions 1 3%
Other 4 12%
Unknown 15 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 15 June 2021.
All research outputs
#3,749,615
of 23,573,357 outputs
Outputs from Journal of Water and Environment Technology
#1
of 38 outputs
Outputs of similar age
#98,468
of 505,063 outputs
Outputs of similar age from Journal of Water and Environment Technology
#1
of 4 outputs
Altmetric has tracked 23,573,357 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 38 research outputs from this source. They receive a mean Attention Score of 2.6. This one scored the same or higher as 37 of them.
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 505,063 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 80% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them