| Title |
Application of Bayesian Networks for Autonomic Network Management
|
|---|---|
| Published in |
Journal of Network and Systems Management, October 2013
|
| DOI | 10.1007/s10922-013-9289-x |
| Authors |
Abul Bashar, Gerard Parr, Sally McClean, Bryan Scotney, Detlef Nauck |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Greece | 1 | 2% |
| Canada | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 52 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 27% |
| Student > Ph. D. Student | 8 | 15% |
| Professor | 5 | 9% |
| Student > Postgraduate | 5 | 9% |
| Researcher | 4 | 7% |
| Other | 7 | 13% |
| Unknown | 11 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 26 | 47% |
| Engineering | 8 | 15% |
| Business, Management and Accounting | 2 | 4% |
| Nursing and Health Professions | 1 | 2% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 14 | 25% |
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 05 July 2017.
All research outputs
#7,926,100
of 23,867,274 outputs
Outputs from Journal of Network and Systems Management
#27
of 125 outputs
Outputs of similar age
#72,635
of 215,456 outputs
Outputs of similar age from Journal of Network and Systems Management
#2
of 3 outputs
Altmetric has tracked 23,867,274 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 125 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 20th percentile – i.e., 20% 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 215,456 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 50% of its contemporaries.
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.