| Title |
A mountable toilet system for personalized health monitoring via the analysis of excreta
|
|---|---|
| Published in |
Nature Biomedical Engineering, April 2020
|
| DOI | 10.1038/s41551-020-0534-9 |
| Pubmed ID | |
| Authors |
Seung-min Park, Daeyoun D. Won, Brian J. Lee, Diego Escobedo, Andre Esteva, Amin Aalipour, T. Jessie Ge, Jung Ha Kim, Susie Suh, Elliot H. Choi, Alexander X. Lozano, Chengyang Yao, Sunil Bodapati, Friso B. Achterberg, Jeesu Kim, Hwan Park, Youngjae Choi, Woo Jin Kim, Jung Ho Yu, Alexander M. Bhatt, Jong Kyun Lee, Ryan Spitler, Shan X. Wang, Sanjiv S. Gambhir |
X Demographics
The data shown below were collected from the profiles of 10,958 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2042 | 19% |
| United Kingdom | 450 | 4% |
| France | 265 | 2% |
| Germany | 236 | 2% |
| Canada | 228 | 2% |
| Spain | 220 | 2% |
| Australia | 159 | 1% |
| India | 156 | 1% |
| Brazil | 151 | 1% |
| Other | 1720 | 16% |
| Unknown | 5331 | 49% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9822 | 90% |
| Scientists | 821 | 7% |
| Science communicators (journalists, bloggers, editors) | 212 | 2% |
| Practitioners (doctors, other healthcare professionals) | 97 | <1% |
| Unknown | 6 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 287 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 287 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 49 | 17% |
| Researcher | 48 | 17% |
| Student > Bachelor | 26 | 9% |
| Student > Master | 22 | 8% |
| Professor > Associate Professor | 19 | 7% |
| Other | 37 | 13% |
| Unknown | 86 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 45 | 16% |
| Biochemistry, Genetics and Molecular Biology | 25 | 9% |
| Computer Science | 20 | 7% |
| Chemistry | 14 | 5% |
| Agricultural and Biological Sciences | 13 | 5% |
| Other | 60 | 21% |
| Unknown | 110 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8309. 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 22 April 2024.
All research outputs
#285
of 25,800,372 outputs
Outputs from Nature Biomedical Engineering
#1
of 1,156 outputs
Outputs of similar age
#34
of 401,151 outputs
Outputs of similar age from Nature Biomedical Engineering
#1
of 36 outputs
Altmetric has tracked 25,800,372 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,156 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 85.9. This one has done particularly well, scoring higher than 99% 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 401,151 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.