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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A method for achieving provable data integrity in cloud computing
|
|---|---|
| Published in |
The Journal of Supercomputing, January 2016
|
| DOI | 10.1007/s11227-015-1598-2 |
| Authors |
Aiping Li, Shuang Tan, Yan Jia |
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 % |
|---|---|---|
| Nigeria | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 22% |
| Student > Master | 5 | 14% |
| Student > Doctoral Student | 4 | 11% |
| Other | 2 | 5% |
| Researcher | 2 | 5% |
| Other | 5 | 14% |
| Unknown | 11 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 54% |
| Business, Management and Accounting | 2 | 5% |
| Engineering | 2 | 5% |
| Economics, Econometrics and Finance | 2 | 5% |
| Unspecified | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 10 | 27% |
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 12 January 2016.
All research outputs
#19,440,618
of 23,911,072 outputs
Outputs from The Journal of Supercomputing
#434
of 543 outputs
Outputs of similar age
#292,894
of 400,846 outputs
Outputs of similar age from The Journal of Supercomputing
#9
of 13 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 543 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 10th percentile – i.e., 10% 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 400,846 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.