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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using agent-based modelling to simulate social-ecological systems across scales
|
|---|---|
| Published in |
GeoInformatica, January 2019
|
| DOI | 10.1007/s10707-018-00337-8 |
| Authors |
Melvin Lippe, Mike Bithell, Nick Gotts, Davide Natalini, Peter Barbrook-Johnson, Carlo Giupponi, Mareen Hallier, Gert Jan Hofstede, Christophe Le Page, Robin B. Matthews, Maja Schlüter, Peter Smith, Andrea Teglio, Kevin Thellmann |
X Demographics
The data shown below were collected from the profiles of 11 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 | 2 | 18% |
| Colombia | 1 | 9% |
| Switzerland | 1 | 9% |
| Korea, Republic of | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 233 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 233 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 59 | 25% |
| Researcher | 37 | 16% |
| Student > Master | 22 | 9% |
| Student > Doctoral Student | 12 | 5% |
| Student > Bachelor | 12 | 5% |
| Other | 38 | 16% |
| Unknown | 53 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 44 | 19% |
| Social Sciences | 24 | 10% |
| Agricultural and Biological Sciences | 16 | 7% |
| Computer Science | 15 | 6% |
| Engineering | 11 | 5% |
| Other | 56 | 24% |
| Unknown | 67 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 24 September 2020.
All research outputs
#5,294,064
of 25,757,133 outputs
Outputs from GeoInformatica
#9
of 107 outputs
Outputs of similar age
#113,030
of 449,725 outputs
Outputs of similar age from GeoInformatica
#1
of 4 outputs
Altmetric has tracked 25,757,133 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 107 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 91% 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 449,725 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 74% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them