| Title |
Using machine learning to predict decisions of the European Court of Human Rights
|
|---|---|
| Published in |
Artificial Intelligence and Law, June 2019
|
| DOI | 10.1007/s10506-019-09255-y |
| Authors |
Masha Medvedeva, Michel Vols, Martijn Wieling |
X Demographics
The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 10% |
| United Kingdom | 3 | 10% |
| Australia | 2 | 7% |
| Belgium | 1 | 3% |
| Germany | 1 | 3% |
| Canada | 1 | 3% |
| Ecuador | 1 | 3% |
| United Arab Emirates | 1 | 3% |
| United States | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 14 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 76% |
| Scientists | 5 | 17% |
| Science communicators (journalists, bloggers, editors) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 271 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 271 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 42 | 15% |
| Student > Ph. D. Student | 29 | 11% |
| Researcher | 15 | 6% |
| Professor > Associate Professor | 10 | 4% |
| Student > Doctoral Student | 10 | 4% |
| Other | 41 | 15% |
| Unknown | 124 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 57 | 21% |
| Social Sciences | 38 | 14% |
| Engineering | 12 | 4% |
| Economics, Econometrics and Finance | 6 | 2% |
| Business, Management and Accounting | 6 | 2% |
| Other | 18 | 7% |
| Unknown | 134 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 April 2023.
All research outputs
#1,347,951
of 24,579,850 outputs
Outputs from Artificial Intelligence and Law
#8
of 221 outputs
Outputs of similar age
#29,425
of 355,776 outputs
Outputs of similar age from Artificial Intelligence and Law
#1
of 4 outputs
Altmetric has tracked 24,579,850 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 221 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 96% 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 355,776 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 91% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them