| Title |
Understanding the variability of daily travel-time expenditures using GPS trajectory data
|
|---|---|
| Published in |
EPJ Data Science, November 2015
|
| DOI | 10.1140/epjds/s13688-015-0055-z |
| Authors |
Riccardo Gallotti, Armando Bazzani, Sandro Rambaldi |
X Demographics
The data shown below were collected from the profiles of 15 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 | 27% |
| Italy | 3 | 20% |
| Venezuela, Bolivarian Republic of | 1 | 7% |
| Finland | 1 | 7% |
| Australia | 1 | 7% |
| Unknown | 5 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 53% |
| Scientists | 6 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 4% |
| United States | 1 | 2% |
| France | 1 | 2% |
| Austria | 1 | 2% |
| Unknown | 46 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 14% |
| Student > Master | 6 | 12% |
| Researcher | 5 | 10% |
| Professor | 3 | 6% |
| Student > Bachelor | 3 | 6% |
| Other | 12 | 24% |
| Unknown | 15 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 9 | 18% |
| Engineering | 8 | 16% |
| Computer Science | 8 | 16% |
| Physics and Astronomy | 3 | 6% |
| Unspecified | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 15 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 November 2015.
All research outputs
#4,146,275
of 24,804,602 outputs
Outputs from EPJ Data Science
#266
of 418 outputs
Outputs of similar age
#54,500
of 291,259 outputs
Outputs of similar age from EPJ Data Science
#11
of 12 outputs
Altmetric has tracked 24,804,602 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 418 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.4. This one is in the 35th percentile – i.e., 35% 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 291,259 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% 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 is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.