| Title |
Unveiling patterns of international communities in a global city using mobile phone data
|
|---|---|
| Published in |
EPJ Data Science, April 2015
|
| DOI | 10.1140/epjds/s13688-015-0041-5 |
| Authors |
Paolo Bajardi, Matteo Delfino, André Panisson, Giovanni Petri, Michele Tizzoni |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 5 | 25% |
| United States | 1 | 5% |
| Spain | 1 | 5% |
| Germany | 1 | 5% |
| United Kingdom | 1 | 5% |
| Myanmar | 1 | 5% |
| Japan | 1 | 5% |
| France | 1 | 5% |
| Unknown | 8 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 50% |
| Scientists | 8 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Italy | 1 | 1% |
| Singapore | 1 | 1% |
| Sri Lanka | 1 | 1% |
| Spain | 1 | 1% |
| Unknown | 76 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 33% |
| Researcher | 12 | 15% |
| Student > Master | 9 | 11% |
| Other | 7 | 9% |
| Student > Doctoral Student | 5 | 6% |
| Other | 10 | 12% |
| Unknown | 11 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 26% |
| Social Sciences | 13 | 16% |
| Physics and Astronomy | 9 | 11% |
| Arts and Humanities | 4 | 5% |
| Mathematics | 4 | 5% |
| Other | 15 | 19% |
| Unknown | 15 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 25 March 2017.
All research outputs
#2,557,268
of 24,387,992 outputs
Outputs from EPJ Data Science
#213
of 403 outputs
Outputs of similar age
#32,526
of 268,817 outputs
Outputs of similar age from EPJ Data Science
#5
of 5 outputs
Altmetric has tracked 24,387,992 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% 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 is in the 47th percentile – i.e., 47% 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 268,817 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 87% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.