| Title |
Economic outcomes predicted by diversity in cities
|
|---|---|
| Published in |
EPJ Data Science, June 2020
|
| DOI | 10.1140/epjds/s13688-020-00234-x |
| Authors |
Shi Kai Chong, Mohsen Bahrami, Hao Chen, Selim Balcisoy, Burcin Bozkaya, Alex ‘Sandy’ Pentland |
X Demographics
The data shown below were collected from the profiles of 8 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 | 1 | 13% |
| Spain | 1 | 13% |
| United Kingdom | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 4 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 20% |
| Researcher | 9 | 14% |
| Lecturer | 4 | 6% |
| Student > Bachelor | 3 | 5% |
| Student > Postgraduate | 3 | 5% |
| Other | 9 | 14% |
| Unknown | 24 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 6 | 9% |
| Business, Management and Accounting | 5 | 8% |
| Computer Science | 5 | 8% |
| Engineering | 4 | 6% |
| Arts and Humanities | 3 | 5% |
| Other | 13 | 20% |
| Unknown | 29 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 28 April 2021.
All research outputs
#6,228,641
of 23,217,343 outputs
Outputs from EPJ Data Science
#297
of 380 outputs
Outputs of similar age
#134,585
of 400,204 outputs
Outputs of similar age from EPJ Data Science
#8
of 13 outputs
Altmetric has tracked 23,217,343 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 380 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.0. This one is in the 21st percentile – i.e., 21% 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 400,204 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.