| Title |
Probing crowd density through smartphones in city-scale mass gatherings
|
|---|---|
| Published in |
EPJ Data Science, June 2013
|
| DOI | 10.1140/epjds17 |
| Authors |
Martin Wirz, Tobias Franke, Daniel Roggen, Eve Mitleton-Kelly, Paul Lukowicz, Gerhard Tröster |
X Demographics
The data shown below were collected from the profiles of 17 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 | 2 | 12% |
| France | 1 | 6% |
| Italy | 1 | 6% |
| Saudi Arabia | 1 | 6% |
| Canada | 1 | 6% |
| Comoros | 1 | 6% |
| Mexico | 1 | 6% |
| Germany | 1 | 6% |
| Unknown | 8 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 82% |
| Scientists | 2 | 12% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Switzerland | 1 | <1% |
| Netherlands | 1 | <1% |
| Brazil | 1 | <1% |
| United Kingdom | 1 | <1% |
| Romania | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 123 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 26% |
| Student > Master | 27 | 21% |
| Student > Bachelor | 18 | 14% |
| Researcher | 12 | 9% |
| Student > Doctoral Student | 6 | 5% |
| Other | 16 | 12% |
| Unknown | 18 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 37 | 28% |
| Engineering | 26 | 20% |
| Psychology | 7 | 5% |
| Social Sciences | 7 | 5% |
| Economics, Econometrics and Finance | 4 | 3% |
| Other | 22 | 17% |
| Unknown | 28 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 May 2022.
All research outputs
#1,592,280
of 22,712,476 outputs
Outputs from EPJ Data Science
#149
of 375 outputs
Outputs of similar age
#14,408
of 197,989 outputs
Outputs of similar age from EPJ Data Science
#1
of 2 outputs
Altmetric has tracked 22,712,476 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 375 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.2. This one has gotten more attention than average, scoring higher than 60% 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 197,989 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 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them