| Title |
Mining and prioritization of association rules for big data: multi-criteria decision analysis approach
|
|---|---|
| Published in |
Journal of Big Data, November 2017
|
| DOI | 10.1186/s40537-017-0105-4 |
| Authors |
Addi Ait-Mlouk, Tarik Agouti, Fatima Gharnati |
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 % |
|---|---|---|
| Sweden | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 15% |
| Student > Master | 9 | 13% |
| Student > Bachelor | 8 | 12% |
| Researcher | 5 | 7% |
| Lecturer | 5 | 7% |
| Other | 16 | 24% |
| Unknown | 14 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 31 | 46% |
| Engineering | 10 | 15% |
| Unspecified | 2 | 3% |
| Agricultural and Biological Sciences | 1 | 1% |
| Nursing and Health Professions | 1 | 1% |
| Other | 8 | 12% |
| Unknown | 14 | 21% |
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 28 November 2017.
All research outputs
#12,940,356
of 23,008,860 outputs
Outputs from Journal of Big Data
#142
of 339 outputs
Outputs of similar age
#199,719
of 438,098 outputs
Outputs of similar age from Journal of Big Data
#5
of 13 outputs
Altmetric has tracked 23,008,860 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 339 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has gotten more attention than average, scoring higher than 57% 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 438,098 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 54% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.