| Title |
Modeling the forensic two-trace problem with Bayesian networks
|
|---|---|
| Published in |
Artificial Intelligence and Law, December 2012
|
| DOI | 10.1007/s10506-012-9136-5 |
| Authors |
Simone Gittelson, Alex Biedermann, Silvia Bozza, Franco Taroni |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 5% |
| Unknown | 20 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 3 | 14% |
| Student > Bachelor | 3 | 14% |
| Student > Ph. D. Student | 3 | 14% |
| Professor | 3 | 14% |
| Researcher | 2 | 10% |
| Other | 3 | 14% |
| Unknown | 4 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Philosophy | 2 | 10% |
| Arts and Humanities | 2 | 10% |
| Social Sciences | 2 | 10% |
| Chemistry | 2 | 10% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 6 | 29% |
| Unknown | 6 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 05 June 2013.
All research outputs
#16,069,695
of 23,849,058 outputs
Outputs from Artificial Intelligence and Law
#135
of 214 outputs
Outputs of similar age
#185,456
of 283,839 outputs
Outputs of similar age from Artificial Intelligence and Law
#3
of 6 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
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 is in the 26th percentile – i.e., 26% 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 283,839 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% 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 3 of them.