| Title |
A history of AI and Law in 50 papers: 25 years of the international conference on AI and Law
|
|---|---|
| Published in |
Artificial Intelligence and Law, September 2012
|
| DOI | 10.1007/s10506-012-9131-x |
| Authors |
Trevor Bench-Capon, Michał Araszkiewicz, Kevin Ashley, Katie Atkinson, Floris Bex, Filipe Borges, Daniele Bourcier, Paul Bourgine, Jack G. Conrad, Enrico Francesconi, Thomas F. Gordon, Guido Governatori, Jochen L. Leidner, David D. Lewis, Ronald P. Loui, L. Thorne McCarty, Henry Prakken, Frank Schilder, Erich Schweighofer, Paul Thompson, Alex Tyrrell, Bart Verheij, Douglas N. Walton, Adam Z. Wyner |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| Turkey | 1 | 17% |
| Austria | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 269 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Italy | 1 | <1% |
| Unknown | 264 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 54 | 20% |
| Student > Master | 41 | 15% |
| Student > Bachelor | 22 | 8% |
| Researcher | 21 | 8% |
| Student > Doctoral Student | 16 | 6% |
| Other | 48 | 18% |
| Unknown | 67 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 89 | 33% |
| Social Sciences | 47 | 17% |
| Business, Management and Accounting | 16 | 6% |
| Engineering | 9 | 3% |
| Philosophy | 7 | 3% |
| Other | 29 | 11% |
| Unknown | 72 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 15 October 2020.
All research outputs
#6,326,717
of 23,849,058 outputs
Outputs from Artificial Intelligence and Law
#37
of 214 outputs
Outputs of similar age
#44,450
of 173,779 outputs
Outputs of similar age from Artificial Intelligence and Law
#1
of 6 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 214 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 gotten more attention than average, scoring higher than 65% 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 173,779 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 74% of its contemporaries.
We're also able to compare this research output to 6 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