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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Applicability of a nationwide flood forecasting system for Typhoon Hagibis 2019
|
|---|---|
| Published in |
Scientific Reports, May 2021
|
| DOI | 10.1038/s41598-021-89522-8 |
| Pubmed ID | |
| Authors |
Wenchao Ma, Yuta Ishitsuka, Akira Takeshima, Kenshi Hibino, Dai Yamazaki, Kosuke Yamamoto, Misako Kachi, Riko Oki, Taikan Oki, Kei Yoshimura |
X Demographics
The data shown below were collected from the profiles of 8 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 | 4 | 50% |
| United States | 1 | 13% |
| United Kingdom | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 23% |
| Student > Ph. D. Student | 5 | 13% |
| Student > Master | 3 | 8% |
| Unspecified | 3 | 8% |
| Lecturer | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 13 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 8 | 21% |
| Earth and Planetary Sciences | 5 | 13% |
| Engineering | 5 | 13% |
| Unspecified | 3 | 8% |
| Computer Science | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 14 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 102. 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 26 July 2021.
All research outputs
#360,117
of 23,308,124 outputs
Outputs from Scientific Reports
#4,040
of 125,973 outputs
Outputs of similar age
#10,760
of 440,904 outputs
Outputs of similar age from Scientific Reports
#132
of 4,503 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 125,973 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done particularly well, scoring higher than 96% 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 440,904 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 97% of its contemporaries.
We're also able to compare this research output to 4,503 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.