| Title |
Travelers or locals? Identifying meaningful sub-populations from human movement data in the absence of ground truth
|
|---|---|
| Published in |
EPJ Data Science, July 2018
|
| DOI | 10.1140/epjds/s13688-018-0147-7 |
| Authors |
Luca Scherrer, Martin Tomko, Peter Ranacher, Robert Weibel |
X Demographics
The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 11% |
| United States | 2 | 7% |
| Italy | 2 | 7% |
| Argentina | 1 | 4% |
| Australia | 1 | 4% |
| Canada | 1 | 4% |
| Switzerland | 1 | 4% |
| United Kingdom | 1 | 4% |
| Chile | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 15 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 57% |
| Scientists | 11 | 39% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 24% |
| Student > Master | 7 | 13% |
| Researcher | 6 | 11% |
| Student > Doctoral Student | 6 | 11% |
| Student > Bachelor | 3 | 5% |
| Other | 4 | 7% |
| Unknown | 16 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 18% |
| Engineering | 6 | 11% |
| Social Sciences | 4 | 7% |
| Physics and Astronomy | 3 | 5% |
| Medicine and Dentistry | 2 | 4% |
| Other | 10 | 18% |
| Unknown | 20 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 15 October 2018.
All research outputs
#2,236,914
of 24,387,992 outputs
Outputs from EPJ Data Science
#190
of 403 outputs
Outputs of similar age
#45,642
of 332,165 outputs
Outputs of similar age from EPJ Data Science
#9
of 14 outputs
Altmetric has tracked 24,387,992 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% 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 gotten more attention than average, scoring higher than 53% 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 332,165 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 86% 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 is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.