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Mendeley readers
Attention Score in Context
| Title |
Cost-based Multi-QoS Job Scheduling Using Divisible Load Theory in Cloud Computing
|
|---|---|
| Published in |
Procedia Computer Science, January 2013
|
| DOI | 10.1016/j.procs.2013.05.258 |
| Authors |
Monir Abdullah, Mohamed Othman |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 1% |
| India | 1 | 1% |
| Italy | 1 | 1% |
| Unknown | 65 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 31% |
| Student > Master | 15 | 22% |
| Lecturer | 6 | 9% |
| Student > Bachelor | 5 | 7% |
| Student > Doctoral Student | 4 | 6% |
| Other | 14 | 21% |
| Unknown | 3 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 45 | 66% |
| Engineering | 12 | 18% |
| Social Sciences | 3 | 4% |
| Medicine and Dentistry | 2 | 3% |
| Chemistry | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 4 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 22 May 2020.
All research outputs
#4,778,877
of 23,106,934 outputs
Outputs from Procedia Computer Science
#249
of 2,333 outputs
Outputs of similar age
#51,202
of 282,681 outputs
Outputs of similar age from Procedia Computer Science
#10
of 119 outputs
Altmetric has tracked 23,106,934 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,333 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 86% 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 282,681 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 119 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.