| Title |
Estimating local commuting patterns from geolocated Twitter data
|
|---|---|
| Published in |
EPJ Data Science, October 2017
|
| DOI | 10.1140/epjds/s13688-017-0120-x |
| Authors |
Graham McNeill, Jonathan Bright, Scott A Hale |
X Demographics
The data shown below were collected from the profiles of 52 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 Kingdom | 5 | 10% |
| Italy | 5 | 10% |
| France | 4 | 8% |
| United States | 4 | 8% |
| Chile | 2 | 4% |
| Greece | 2 | 4% |
| Spain | 2 | 4% |
| Luxembourg | 1 | 2% |
| Belgium | 1 | 2% |
| Other | 7 | 13% |
| Unknown | 19 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 30 | 58% |
| Scientists | 20 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 104 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 23% |
| Student > Master | 18 | 17% |
| Researcher | 13 | 13% |
| Student > Bachelor | 6 | 6% |
| Professor | 5 | 5% |
| Other | 16 | 15% |
| Unknown | 22 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 18 | 17% |
| Computer Science | 12 | 12% |
| Engineering | 11 | 11% |
| Earth and Planetary Sciences | 5 | 5% |
| Business, Management and Accounting | 5 | 5% |
| Other | 25 | 24% |
| Unknown | 28 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. 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 April 2020.
All research outputs
#1,051,697
of 25,550,333 outputs
Outputs from EPJ Data Science
#90
of 449 outputs
Outputs of similar age
#21,571
of 332,430 outputs
Outputs of similar age from EPJ Data Science
#8
of 12 outputs
Altmetric has tracked 25,550,333 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 449 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.2. This one has done well, scoring higher than 80% 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 332,430 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 93% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.