| Title |
Automatic belief network modeling via policy inference for SDN fault localization
|
|---|---|
| Published in |
Journal of Internet Services and Applications, January 2016
|
| DOI | 10.1186/s13174-016-0043-y |
| Authors |
Yongning Tang, Guang Cheng, Zhiwei Xu, Feng Chen, Khalid Elmansor, Yangxuan Wu |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 20% |
| United States | 1 | 20% |
| United Kingdom | 1 | 20% |
| Brazil | 1 | 20% |
| Comoros | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 4% |
| Unknown | 26 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 22% |
| Student > Ph. D. Student | 5 | 19% |
| Researcher | 4 | 15% |
| Student > Bachelor | 2 | 7% |
| Student > Postgraduate | 2 | 7% |
| Other | 4 | 15% |
| Unknown | 4 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 48% |
| Engineering | 5 | 19% |
| Social Sciences | 2 | 7% |
| Arts and Humanities | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 3 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 August 2018.
All research outputs
#4,513,469
of 22,840,638 outputs
Outputs from Journal of Internet Services and Applications
#34
of 182 outputs
Outputs of similar age
#80,374
of 394,766 outputs
Outputs of similar age from Journal of Internet Services and Applications
#1
of 3 outputs
Altmetric has tracked 22,840,638 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 182 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 81% 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 394,766 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% 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. This one has scored higher than all of them