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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
COVID-19 case prediction via wastewater surveillance in a low-prevalence urban community: a modeling approach
|
|---|---|
| Published in |
Journal of Water & Health, February 2022
|
| DOI | 10.2166/wh.2022.183 |
| Pubmed ID | |
| Authors |
Yifan Zhu, Wakana Oishi, Chikako Maruo, Sewwandi Bandara, Mu Lin, Mayuko Saito, Masaaki Kitajima, Daisuke Sano |
Twitter Demographics
The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 22% |
| Canada | 1 | 11% |
| Unknown | 6 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 67% |
| Scientists | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 15% |
| Student > Master | 4 | 12% |
| Student > Doctoral Student | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Professor > Associate Professor | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 15 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 12% |
| Environmental Science | 3 | 9% |
| Agricultural and Biological Sciences | 3 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Veterinary Science and Veterinary Medicine | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 17 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 November 2022.
All research outputs
#5,972,989
of 23,090,520 outputs
Outputs from Journal of Water & Health
#144
of 648 outputs
Outputs of similar age
#132,309
of 506,543 outputs
Outputs of similar age from Journal of Water & Health
#5
of 26 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 648 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 77% 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 506,543 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.