| Title |
Activism via attention: interpretable spatiotemporal learning to forecast protest activities
|
|---|---|
| Published in |
EPJ Data Science, February 2019
|
| DOI | 10.1140/epjds/s13688-019-0183-y |
| Authors |
Ali Mert Ertugrul, Yu-Ru Lin, Wen-Ting Chung, Muheng Yan, Ang Li |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sao Tome and Principe | 1 | 9% |
| Spain | 1 | 9% |
| Italy | 1 | 9% |
| Australia | 1 | 9% |
| United Kingdom | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 45% |
| Members of the public | 5 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 21% |
| Student > Master | 10 | 21% |
| Student > Bachelor | 5 | 10% |
| Researcher | 4 | 8% |
| Other | 4 | 8% |
| Other | 6 | 13% |
| Unknown | 9 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 29% |
| Social Sciences | 10 | 21% |
| Arts and Humanities | 3 | 6% |
| Psychology | 3 | 6% |
| Linguistics | 1 | 2% |
| Other | 6 | 13% |
| Unknown | 11 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 February 2019.
All research outputs
#5,710,297
of 23,685,936 outputs
Outputs from EPJ Data Science
#287
of 388 outputs
Outputs of similar age
#118,985
of 451,234 outputs
Outputs of similar age from EPJ Data Science
#11
of 11 outputs
Altmetric has tracked 23,685,936 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 388 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.1. This one is in the 26th percentile – i.e., 26% 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 451,234 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 73% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.