| Title |
Complex delay dynamics on railway networks from universal laws to realistic modelling
|
|---|---|
| Published in |
EPJ Data Science, September 2018
|
| DOI | 10.1140/epjds/s13688-018-0160-x |
| Authors |
Bernardo Monechi, Pietro Gravino, Riccardo Di Clemente, Vito D. P. Servedio |
X Demographics
The data shown below were collected from the profiles of 60 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 | 8 | 13% |
| Italy | 7 | 12% |
| United States | 6 | 10% |
| Spain | 4 | 7% |
| France | 3 | 5% |
| Switzerland | 1 | 2% |
| Argentina | 1 | 2% |
| Denmark | 1 | 2% |
| Belgium | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 25 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 34 | 57% |
| Scientists | 23 | 38% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
| Unknown | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 22% |
| Researcher | 7 | 19% |
| Student > Bachelor | 4 | 11% |
| Student > Master | 3 | 8% |
| Other | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 8 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 10 | 28% |
| Physics and Astronomy | 8 | 22% |
| Computer Science | 3 | 8% |
| Social Sciences | 2 | 6% |
| Decision Sciences | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 9 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 07 January 2019.
All research outputs
#1,100,744
of 24,353,295 outputs
Outputs from EPJ Data Science
#90
of 403 outputs
Outputs of similar age
#24,308
of 345,383 outputs
Outputs of similar age from EPJ Data Science
#9
of 20 outputs
Altmetric has tracked 24,353,295 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 403 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 41.8. 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 345,383 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 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.