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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A multi-level security model for partitioning workflows over federated clouds
|
|---|---|
| Published in |
Journal of Cloud Computing, July 2012
|
| DOI | 10.1186/2192-113x-1-15 |
| Authors |
Paul Watson |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 5% |
| United Kingdom | 1 | 3% |
| France | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 35 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 33% |
| Student > Master | 6 | 15% |
| Professor > Associate Professor | 3 | 8% |
| Researcher | 3 | 8% |
| Lecturer | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 8 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 28 | 70% |
| Unspecified | 1 | 3% |
| Mathematics | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Unknown | 9 | 23% |
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 30 March 2020.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from Journal of Cloud Computing
#103
of 276 outputs
Outputs of similar age
#117,685
of 178,799 outputs
Outputs of similar age from Journal of Cloud Computing
#6
of 6 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 276 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 44th percentile – i.e., 44% 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 178,799 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.