| Title |
Towards Quantitatively Understanding the Complexity of Social-Ecological Systems—From Connection to Consilience
|
|---|---|
| Published in |
International Journal of Disaster Risk Science, October 2017
|
| DOI | 10.1007/s13753-017-0146-5 |
| Authors |
Xiao-Bing Hu, Peijun Shi, Ming Wang, Tao Ye, Mark S. Leeson, Sander E. van der Leeuw, Jianguo Wu, Ortwin Renn, Carlo Jaeger |
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 % |
|---|---|---|
| Canada | 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 22% |
| Student > Ph. D. Student | 10 | 20% |
| Student > Doctoral Student | 9 | 18% |
| Professor | 3 | 6% |
| Lecturer | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 7 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 11 | 22% |
| Earth and Planetary Sciences | 5 | 10% |
| Social Sciences | 4 | 8% |
| Economics, Econometrics and Finance | 3 | 6% |
| Engineering | 3 | 6% |
| Other | 11 | 22% |
| Unknown | 12 | 24% |
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 01 November 2017.
All research outputs
#15,482,347
of 23,007,053 outputs
Outputs from International Journal of Disaster Risk Science
#174
of 247 outputs
Outputs of similar age
#205,932
of 328,927 outputs
Outputs of similar age from International Journal of Disaster Risk Science
#6
of 15 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 247 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one is in the 11th percentile – i.e., 11% 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 328,927 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.