| Title |
Gaining historical and international relations insights from social media: spatio-temporal real-world news analysis using Twitter
|
|---|---|
| Published in |
EPJ Data Science, October 2017
|
| DOI | 10.1140/epjds/s13688-017-0122-8 |
| Authors |
Vanessa Peña-Araya, Mauricio Quezada, Barbara Poblete, Denis Parra |
X Demographics
The data shown below were collected from the profiles of 34 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 9 | 26% |
| United States | 5 | 15% |
| Netherlands | 2 | 6% |
| Australia | 1 | 3% |
| United Kingdom | 1 | 3% |
| Italy | 1 | 3% |
| Spain | 1 | 3% |
| Norway | 1 | 3% |
| Unknown | 13 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 65% |
| Scientists | 11 | 32% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 19% |
| Student > Master | 7 | 13% |
| Student > Bachelor | 5 | 10% |
| Researcher | 3 | 6% |
| Lecturer | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 18 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 21% |
| Social Sciences | 7 | 13% |
| Physics and Astronomy | 3 | 6% |
| Business, Management and Accounting | 3 | 6% |
| Environmental Science | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 20 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 36. 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 17 June 2018.
All research outputs
#978,862
of 23,316,003 outputs
Outputs from EPJ Data Science
#83
of 382 outputs
Outputs of similar age
#22,025
of 324,145 outputs
Outputs of similar age from EPJ Data Science
#8
of 12 outputs
Altmetric has tracked 23,316,003 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 382 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has done well, scoring higher than 78% 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 324,145 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 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.