| Title |
A Multi-Grid Evacuation Model Considering the Threat of Fire to Human Life and its Application to Building Fire Risk Assessment
|
|---|---|
| Published in |
Fire Technology, March 2019
|
| DOI | 10.1007/s10694-019-00840-w |
| Authors |
Fang Zhiming, Lv Wei, Li Xiaolian, Song Weiguo |
X Demographics
The data shown below were collected from the profiles of 7 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 Kingdom | 4 | 57% |
| Germany | 1 | 14% |
| New Zealand | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 2 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 7 | 24% |
| Student > Ph. D. Student | 5 | 17% |
| Student > Doctoral Student | 4 | 14% |
| Student > Master | 2 | 7% |
| Student > Bachelor | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 8 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 28% |
| Unspecified | 7 | 24% |
| Nursing and Health Professions | 2 | 7% |
| Computer Science | 1 | 3% |
| Social Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 9 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 10 March 2019.
All research outputs
#6,442,803
of 23,132,033 outputs
Outputs from Fire Technology
#204
of 799 outputs
Outputs of similar age
#122,764
of 351,556 outputs
Outputs of similar age from Fire Technology
#13
of 22 outputs
Altmetric has tracked 23,132,033 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 799 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 73% 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 351,556 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.