| Title |
Reconstructing Popov v. Hayashi in a framework for argumentation with structured arguments and Dungean semantics
|
|---|---|
| Published in |
Artificial Intelligence and Law, March 2012
|
| DOI | 10.1007/s10506-012-9117-8 |
| Authors |
Henry Prakken |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Luxembourg | 2 | 6% |
| Japan | 1 | 3% |
| Italy | 1 | 3% |
| Switzerland | 1 | 3% |
| Unknown | 28 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 21% |
| Student > Ph. D. Student | 6 | 18% |
| Student > Master | 5 | 15% |
| Other | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 8 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 8 | 24% |
| Computer Science | 7 | 21% |
| Philosophy | 3 | 9% |
| Mathematics | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 10 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 14 March 2012.
All research outputs
#16,443,300
of 25,837,817 outputs
Outputs from Artificial Intelligence and Law
#130
of 235 outputs
Outputs of similar age
#103,923
of 170,007 outputs
Outputs of similar age from Artificial Intelligence and Law
#2
of 6 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 235 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 38th percentile – i.e., 38% 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 170,007 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
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 4 of them.