| Title |
Multi-context systems in dynamic environments
|
|---|---|
| Published in |
Annals of Mathematics and Artificial Intelligence, March 2019
|
| DOI | 10.1007/s10472-019-09622-0 |
| Authors |
Pedro Cabalar, Stefania Costantini, Giovanni De Gasperis, Andrea Formisano |
X Demographics
The data shown below were collected from the profiles of 2 X users 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 | 50% |
| Italy | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 21 | 70% |
| Professor | 1 | 3% |
| Professor > Associate Professor | 1 | 3% |
| Student > Bachelor | 1 | 3% |
| Lecturer | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 80% |
| Agricultural and Biological Sciences | 1 | 3% |
| Unknown | 5 | 17% |
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 15 June 2021.
All research outputs
#18,572,005
of 23,849,058 outputs
Outputs from Annals of Mathematics and Artificial Intelligence
#107
of 133 outputs
Outputs of similar age
#252,958
of 353,873 outputs
Outputs of similar age from Annals of Mathematics and Artificial Intelligence
#4
of 4 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% 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 17th percentile – i.e., 17% 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 353,873 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% 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.