| Title |
The disruption transport model: computing user delays resulting from infrastructure failures for multi-modal passenger & freight traffic
|
|---|---|
| Published in |
European Transport Research Review, February 2020
|
| DOI | 10.1186/s12544-020-0398-9 |
| Authors |
Marieke S. van der Tuin, Adam J. Pel |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 10% |
| Unspecified | 2 | 6% |
| Student > Doctoral Student | 2 | 6% |
| Student > Ph. D. Student | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 15 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 26% |
| Business, Management and Accounting | 4 | 13% |
| Unspecified | 2 | 6% |
| Computer Science | 1 | 3% |
| Unknown | 16 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 27 February 2020.
All research outputs
#15,601,089
of 23,195,584 outputs
Outputs from European Transport Research Review
#202
of 273 outputs
Outputs of similar age
#273,530
of 455,733 outputs
Outputs of similar age from European Transport Research Review
#7
of 11 outputs
Altmetric has tracked 23,195,584 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 273 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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 455,733 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.