| Title |
Modeling the effect of days and road type on peak period travels using structural equation modeling and big data from radio frequency identification for private cars and taxis
|
|---|---|
| Published in |
European Transport Research Review, September 2018
|
| DOI | 10.1186/s12544-018-0313-9 |
| Authors |
Tina Dzigbordi Wemegah, Shunying Zhu, Charles Atombo |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Maldives | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 18% |
| Other | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Lecturer | 2 | 5% |
| Researcher | 2 | 5% |
| Other | 8 | 21% |
| Unknown | 14 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 16 | 41% |
| Unspecified | 1 | 3% |
| Computer Science | 1 | 3% |
| Economics, Econometrics and Finance | 1 | 3% |
| Arts and Humanities | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 15 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 10 September 2018.
All research outputs
#13,047,669
of 23,102,082 outputs
Outputs from European Transport Research Review
#138
of 273 outputs
Outputs of similar age
#159,010
of 335,675 outputs
Outputs of similar age from European Transport Research Review
#6
of 12 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 6.0. This one is in the 49th percentile – i.e., 49% 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 335,675 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 12 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 50% of its contemporaries.