| Title |
A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments
|
|---|---|
| Published in |
Journal of Grid Computing, October 2014
|
| DOI | 10.1007/s10723-014-9314-7 |
| Authors |
Tania Lorido-Botran, Jose Miguel-Alonso, Jose A. Lozano |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 344 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 6 | 2% |
| France | 1 | <1% |
| Ireland | 1 | <1% |
| Austria | 1 | <1% |
| Netherlands | 1 | <1% |
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Spain | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 330 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 81 | 24% |
| Student > Master | 78 | 23% |
| Student > Bachelor | 32 | 9% |
| Researcher | 28 | 8% |
| Student > Doctoral Student | 15 | 4% |
| Other | 40 | 12% |
| Unknown | 70 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 219 | 64% |
| Engineering | 32 | 9% |
| Mathematics | 3 | <1% |
| Business, Management and Accounting | 2 | <1% |
| Agricultural and Biological Sciences | 2 | <1% |
| Other | 7 | 2% |
| Unknown | 79 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 03 October 2023.
All research outputs
#2,897,565
of 23,299,593 outputs
Outputs from Journal of Grid Computing
#4
of 120 outputs
Outputs of similar age
#33,860
of 257,439 outputs
Outputs of similar age from Journal of Grid Computing
#1
of 3 outputs
Altmetric has tracked 23,299,593 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 120 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 96% 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 257,439 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 86% 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