| Title |
CLAUDETTE: an automated detector of potentially unfair clauses in online terms of service
|
|---|---|
| Published in |
Artificial Intelligence and Law, February 2019
|
| DOI | 10.1007/s10506-019-09243-2 |
| Authors |
Marco Lippi, Przemysław Pałka, Giuseppe Contissa, Francesca Lagioia, Hans-Wolfgang Micklitz, Giovanni Sartor, Paolo Torroni |
X Demographics
The data shown below were collected from the profiles of 55 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 States | 11 | 20% |
| United Kingdom | 3 | 5% |
| South Africa | 2 | 4% |
| France | 2 | 4% |
| Germany | 2 | 4% |
| Belgium | 2 | 4% |
| Canada | 1 | 2% |
| Nepal | 1 | 2% |
| Austria | 1 | 2% |
| Other | 6 | 11% |
| Unknown | 24 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 36 | 65% |
| Scientists | 14 | 25% |
| Science communicators (journalists, bloggers, editors) | 5 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 120 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 23% |
| Student > Doctoral Student | 8 | 7% |
| Researcher | 7 | 6% |
| Student > Bachelor | 7 | 6% |
| Student > Master | 7 | 6% |
| Other | 19 | 16% |
| Unknown | 45 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 32 | 27% |
| Social Sciences | 14 | 12% |
| Engineering | 8 | 7% |
| Arts and Humanities | 5 | 4% |
| Business, Management and Accounting | 5 | 4% |
| Other | 13 | 11% |
| Unknown | 43 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 20 October 2023.
All research outputs
#1,224,202
of 25,766,791 outputs
Outputs from Artificial Intelligence and Law
#8
of 236 outputs
Outputs of similar age
#31,271
of 477,299 outputs
Outputs of similar age from Artificial Intelligence and Law
#1
of 7 outputs
Altmetric has tracked 25,766,791 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 236 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. 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 477,299 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 7 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