| Title |
The impact of social segregation on human mobility in developing and industrialized regions
|
|---|---|
| Published in |
EPJ Data Science, June 2014
|
| DOI | 10.1140/epjds31 |
| Authors |
Alexander Amini, Kevin Kung, Chaogui Kang, Stanislav Sobolevsky, Carlo Ratti |
X Demographics
The data shown below were collected from the profiles of 13 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 | 31% |
| Italy | 2 | 15% |
| France | 1 | 8% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 69% |
| Scientists | 2 | 15% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Sri Lanka | 2 | 2% |
| Turkey | 1 | <1% |
| Brazil | 1 | <1% |
| Germany | 1 | <1% |
| Portugal | 1 | <1% |
| Finland | 1 | <1% |
| Spain | 1 | <1% |
| Russia | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 113 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 27% |
| Student > Master | 20 | 16% |
| Researcher | 15 | 12% |
| Other | 7 | 6% |
| Student > Bachelor | 6 | 5% |
| Other | 20 | 16% |
| Unknown | 23 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 33 | 27% |
| Social Sciences | 12 | 10% |
| Engineering | 10 | 8% |
| Physics and Astronomy | 8 | 6% |
| Earth and Planetary Sciences | 6 | 5% |
| Other | 25 | 20% |
| Unknown | 30 | 24% |
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 26 June 2014.
All research outputs
#3,555,039
of 22,757,090 outputs
Outputs from EPJ Data Science
#240
of 376 outputs
Outputs of similar age
#35,761
of 228,641 outputs
Outputs of similar age from EPJ Data Science
#1
of 1 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 376 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.1. This one is in the 36th percentile – i.e., 36% 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 228,641 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 84% of its contemporaries.
We're also able to compare this research output to 1 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