| Title |
Early SNS-based monitoring system for the COVID-19 outbreak in Japan: a population-level observational study
|
|---|---|
| Published in |
Journal of Epidemiology, May 2020
|
| DOI | 10.2188/jea.je20200150 |
| Pubmed ID | |
| Authors |
Daisuke Yoneoka, Takayuki Kawashima, Yuta Tanoue, Shuhei Nomura, Keisuke Ejima, Shoi Shi, Akifumi Eguchi, Toshibumi Taniguchi, Haruka Sakamoto, Hiroyuki Kunishima, Stuart Gilmour, Hiroshi Nishiura, Hiroaki Miyata |
X Demographics
The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 10 | 29% |
| United States | 3 | 9% |
| Unknown | 22 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 77% |
| Scientists | 6 | 17% |
| Practitioners (doctors, other healthcare professionals) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 148 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 10% |
| Student > Bachelor | 15 | 10% |
| Student > Master | 13 | 9% |
| Other | 10 | 7% |
| Student > Ph. D. Student | 9 | 6% |
| Other | 34 | 23% |
| Unknown | 52 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 18% |
| Computer Science | 12 | 8% |
| Nursing and Health Professions | 10 | 7% |
| Business, Management and Accounting | 6 | 4% |
| Social Sciences | 6 | 4% |
| Other | 31 | 21% |
| Unknown | 56 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 13 August 2020.
All research outputs
#1,710,385
of 25,387,668 outputs
Outputs from Journal of Epidemiology
#87
of 918 outputs
Outputs of similar age
#49,126
of 432,479 outputs
Outputs of similar age from Journal of Epidemiology
#3
of 9 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 918 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has done particularly well, scoring higher than 90% 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 432,479 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 88% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.