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Twitter 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 |
Twitter Demographics
The data shown below were collected from the profiles of 12 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 25% |
| Colombia | 1 | 8% |
| Switzerland | 1 | 8% |
| Korea, Republic of | 1 | 8% |
| Unknown | 6 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 50% |
| Members of the public | 6 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 221 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 221 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 57 | 26% |
| Researcher | 35 | 16% |
| Student > Master | 22 | 10% |
| Student > Doctoral Student | 11 | 5% |
| Student > Bachelor | 11 | 5% |
| Other | 35 | 16% |
| Unknown | 50 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 44 | 20% |
| Social Sciences | 24 | 11% |
| Computer Science | 14 | 6% |
| Agricultural and Biological Sciences | 14 | 6% |
| Engineering | 11 | 5% |
| Other | 49 | 22% |
| Unknown | 65 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 23 March 2023.
All research outputs
#4,374,684
of 24,508,104 outputs
Outputs from GeoInformatica
#10
of 103 outputs
Outputs of similar age
#94,127
of 446,408 outputs
Outputs of similar age from GeoInformatica
#3
of 4 outputs
Altmetric has tracked 24,508,104 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 103 research outputs from this source. They receive a mean Attention Score of 3.7. 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 446,408 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% 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.