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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The ODD Protocol for Describing Agent-Based and Other Simulation Models: A Second Update to Improve Clarity, Replication, and Structural Realism
|
|---|---|
| Published in |
Journal of Artificial Societies and Social Simulation, January 2020
|
| DOI | 10.18564/jasss.4259 |
| Authors |
Volker Grimm, Steven F. Railsback, Christian E. Vincenot, Uta Berger, Cara Gallagher, Donald L. DeAngelis, Bruce Edmonds, Jiaqi Ge, Jarl Giske, Jürgen Groeneveld, Alice S.A. Johnston, Alexander Milles, Jacob Nabe-Nielsen, J. Gareth Polhill, Viktoriia Radchuk, Marie-Sophie Rohwäder, Richard A. Stillman, Jan C. Thiele, Daniel Ayllón |
X Demographics
The data shown below were collected from the profiles of 29 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 States | 4 | 14% |
| Germany | 3 | 10% |
| Brazil | 2 | 7% |
| Netherlands | 2 | 7% |
| United Kingdom | 2 | 7% |
| Mexico | 1 | 3% |
| Italy | 1 | 3% |
| Colombia | 1 | 3% |
| Canada | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 9 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 15 | 52% |
| Members of the public | 12 | 41% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 566 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 566 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 137 | 24% |
| Student > Master | 82 | 14% |
| Researcher | 64 | 11% |
| Student > Doctoral Student | 33 | 6% |
| Student > Bachelor | 24 | 4% |
| Other | 64 | 11% |
| Unknown | 162 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 82 | 14% |
| Environmental Science | 61 | 11% |
| Engineering | 47 | 8% |
| Social Sciences | 36 | 6% |
| Computer Science | 35 | 6% |
| Other | 107 | 19% |
| Unknown | 198 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 October 2023.
All research outputs
#1,233,597
of 25,837,817 outputs
Outputs from Journal of Artificial Societies and Social Simulation
#9
of 257 outputs
Outputs of similar age
#29,953
of 482,577 outputs
Outputs of similar age from Journal of Artificial Societies and Social Simulation
#4
of 42 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 257 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 96% 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 482,577 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.