| Title |
Technologies to Support Community Flood Disaster Risk Reduction
|
|---|---|
| Published in |
International Journal of Disaster Risk Science, June 2016
|
| DOI | 10.1007/s13753-016-0086-5 |
| Authors |
Ian McCallum, Wei Liu, Linda See, Reinhard Mechler, Adriana Keating, Stefan Hochrainer-Stigler, Junko Mochizuki, Steffen Fritz, Sumit Dugar, Miguel Arestegui, Michael Szoenyi, Juan-Carlos Laso Bayas, Peter Burek, Adam French, Inian Moorthy |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 259 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 255 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 15% |
| Student > Master | 37 | 14% |
| Researcher | 23 | 9% |
| Lecturer | 19 | 7% |
| Student > Doctoral Student | 17 | 7% |
| Other | 46 | 18% |
| Unknown | 77 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 40 | 15% |
| Social Sciences | 32 | 12% |
| Engineering | 31 | 12% |
| Computer Science | 19 | 7% |
| Earth and Planetary Sciences | 10 | 4% |
| Other | 36 | 14% |
| Unknown | 91 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 28 September 2016.
All research outputs
#19,962,154
of 25,394,764 outputs
Outputs from International Journal of Disaster Risk Science
#245
of 272 outputs
Outputs of similar age
#268,708
of 368,712 outputs
Outputs of similar age from International Journal of Disaster Risk Science
#5
of 5 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 272 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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 368,712 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.