| Title |
Relational concept analysis: mining concept lattices from multi-relational data
|
|---|---|
| Published in |
Annals of Mathematics and Artificial Intelligence, March 2013
|
| DOI | 10.1007/s10472-012-9329-3 |
| Authors |
Mohamed Rouane-Hacene, Marianne Huchard, Amedeo Napoli, Petko Valtchev |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| France | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 44 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 30% |
| Lecturer | 5 | 11% |
| Student > Postgraduate | 4 | 9% |
| Student > Master | 4 | 9% |
| Student > Doctoral Student | 3 | 6% |
| Other | 10 | 21% |
| Unknown | 7 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 31 | 66% |
| Arts and Humanities | 1 | 2% |
| Business, Management and Accounting | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Chemistry | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 10 | 21% |
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 09 April 2013.
All research outputs
#19,246,640
of 23,849,058 outputs
Outputs from Annals of Mathematics and Artificial Intelligence
#111
of 133 outputs
Outputs of similar age
#152,430
of 199,602 outputs
Outputs of similar age from Annals of Mathematics and Artificial Intelligence
#1
of 3 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 133 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 7th percentile – i.e., 7% 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 199,602 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 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