| Title |
Human mobility and innovation spreading in ancient times: a stochastic agent-based simulation approach
|
|---|---|
| Published in |
EPJ Data Science, July 2018
|
| DOI | 10.1140/epjds/s13688-018-0153-9 |
| Authors |
Nataša Djurdjevac Conrad, Luzie Helfmann, Johannes Zonker, Stefanie Winkelmann, Christof Schütte |
X Demographics
The data shown below were collected from the profiles of 38 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 | 11% |
| United States | 3 | 8% |
| Italy | 2 | 5% |
| Germany | 2 | 5% |
| Spain | 2 | 5% |
| Netherlands | 2 | 5% |
| Turkey | 2 | 5% |
| France | 1 | 3% |
| Norway | 1 | 3% |
| Other | 7 | 18% |
| Unknown | 12 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 53% |
| Scientists | 14 | 37% |
| Science communicators (journalists, bloggers, editors) | 4 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 19% |
| Student > Ph. D. Student | 7 | 12% |
| Researcher | 6 | 10% |
| Other | 5 | 8% |
| Student > Doctoral Student | 4 | 7% |
| Other | 10 | 17% |
| Unknown | 16 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 14% |
| Physics and Astronomy | 6 | 10% |
| Mathematics | 4 | 7% |
| Agricultural and Biological Sciences | 3 | 5% |
| Engineering | 3 | 5% |
| Other | 13 | 22% |
| Unknown | 22 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 30 August 2018.
All research outputs
#1,244,117
of 25,381,864 outputs
Outputs from EPJ Data Science
#101
of 436 outputs
Outputs of similar age
#25,971
of 333,992 outputs
Outputs of similar age from EPJ Data Science
#2
of 14 outputs
Altmetric has tracked 25,381,864 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 436 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.4. This one has done well, scoring higher than 77% 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 333,992 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 92% of its contemporaries.
We're also able to compare this research output to 14 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 92% of its contemporaries.