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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
An Architecture for Cross-Cloud System Management
|
---|---|
Chapter number | 53 |
Book title |
Contemporary Computing
|
Published in |
ADS, January 2009
|
DOI | 10.1007/978-3-642-03547-0_53 |
Book ISBNs |
978-3-64-203546-3, 978-3-64-203547-0
|
Authors |
Dodda, Ravi Teja, Smith, Chris, van Moorsel, Aad, Ravi Teja Dodda, Chris Smith, Aad van Moorsel |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Iran, Islamic Republic of | 1 | 5% |
United Kingdom | 1 | 5% |
Malaysia | 1 | 5% |
Switzerland | 1 | 5% |
Unknown | 15 | 79% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 32% |
Student > Master | 6 | 32% |
Professor > Associate Professor | 2 | 11% |
Lecturer | 1 | 5% |
Other | 1 | 5% |
Other | 1 | 5% |
Unknown | 2 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 68% |
Business, Management and Accounting | 1 | 5% |
Economics, Econometrics and Finance | 1 | 5% |
Engineering | 1 | 5% |
Unknown | 3 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 16 December 2017.
All research outputs
#13,459,901
of 22,851,489 outputs
Outputs from ADS
#26,968
of 37,383 outputs
Outputs of similar age
#137,586
of 169,366 outputs
Outputs of similar age from ADS
#706
of 900 outputs
Altmetric has tracked 22,851,489 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,383 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 27th percentile – i.e., 27% 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 169,366 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 900 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.