| Title |
Inducing Multi-Level Association Rules from Multiple Relations
|
|---|---|
| Published in |
Machine Learning, May 2004
|
| DOI | 10.1023/b:mach.0000023151.65011.a3 |
| Authors |
Francesca A. Lisi, Donato Malerba |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 3% |
| Turkey | 1 | 3% |
| France | 1 | 3% |
| Italy | 1 | 3% |
| Vietnam | 1 | 3% |
| Slovakia | 1 | 3% |
| Unknown | 34 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 30% |
| Researcher | 7 | 18% |
| Student > Master | 4 | 10% |
| Student > Doctoral Student | 3 | 8% |
| Other | 3 | 8% |
| Other | 8 | 20% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 31 | 78% |
| Agricultural and Biological Sciences | 1 | 3% |
| Environmental Science | 1 | 3% |
| Earth and Planetary Sciences | 1 | 3% |
| Engineering | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 5 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 08 August 2017.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from Machine Learning
#344
of 1,225 outputs
Outputs of similar age
#20,973
of 62,294 outputs
Outputs of similar age from Machine Learning
#1
of 4 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,225 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 56% 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 62,294 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
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