| Title |
Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation
|
|---|---|
| Published in |
Statistics and Computing, February 2019
|
| DOI | 10.1007/s11222-019-09857-1 |
| Authors |
Marco Scutari, Claudia Vitolo, Allan Tucker |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 27% |
| Researcher | 9 | 12% |
| Student > Master | 7 | 9% |
| Student > Doctoral Student | 4 | 5% |
| Student > Bachelor | 3 | 4% |
| Other | 10 | 14% |
| Unknown | 21 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 16 | 22% |
| Computer Science | 15 | 20% |
| Mathematics | 4 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Decision Sciences | 2 | 3% |
| Other | 12 | 16% |
| Unknown | 23 | 31% |
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 22 February 2019.
All research outputs
#15,169,685
of 25,837,817 outputs
Outputs from Statistics and Computing
#283
of 636 outputs
Outputs of similar age
#243,926
of 479,303 outputs
Outputs of similar age from Statistics and Computing
#6
of 7 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 636 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 54% 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 479,303 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
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.