| Title |
Us and them: identifying cyber hate on Twitter across multiple protected characteristics
|
|---|---|
| Published in |
EPJ Data Science, March 2016
|
| DOI | 10.1140/epjds/s13688-016-0072-6 |
| Pubmed ID | |
| Authors |
Pete Burnap, Matthew L Williams |
X Demographics
The data shown below were collected from the profiles of 59 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 | 16 | 27% |
| Ireland | 3 | 5% |
| Switzerland | 2 | 3% |
| United States | 2 | 3% |
| France | 2 | 3% |
| Sweden | 1 | 2% |
| Spain | 1 | 2% |
| Comoros | 1 | 2% |
| Colombia | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 26 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 37 | 63% |
| Scientists | 16 | 27% |
| Science communicators (journalists, bloggers, editors) | 5 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 424 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Germany | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 420 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 73 | 17% |
| Student > Ph. D. Student | 71 | 17% |
| Student > Bachelor | 42 | 10% |
| Student > Doctoral Student | 30 | 7% |
| Researcher | 27 | 6% |
| Other | 61 | 14% |
| Unknown | 120 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 139 | 33% |
| Social Sciences | 64 | 15% |
| Psychology | 16 | 4% |
| Engineering | 16 | 4% |
| Arts and Humanities | 15 | 4% |
| Other | 37 | 9% |
| Unknown | 137 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 45. 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 11 October 2021.
All research outputs
#937,874
of 25,734,859 outputs
Outputs from EPJ Data Science
#76
of 457 outputs
Outputs of similar age
#16,215
of 315,676 outputs
Outputs of similar age from EPJ Data Science
#4
of 14 outputs
Altmetric has tracked 25,734,859 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 457 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.7. This one has done well, scoring higher than 83% 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 315,676 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 94% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.