| Title |
Hierarchical Byzantine fault-tolerance protocol for permissioned blockchain systems
|
|---|---|
| Published in |
The Journal of Supercomputing, June 2019
|
| DOI | 10.1007/s11227-019-02939-x |
| Authors |
Quang Tung Thai, Jong-Chul Yim, Tae-Whan Yoo, Hyun-Kyung Yoo, Ji-Young Kwak, Sun-Me Kim |
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 % |
|---|---|---|
| Unknown | 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 22% |
| Student > Ph. D. Student | 3 | 13% |
| Student > Doctoral Student | 3 | 13% |
| Student > Postgraduate | 2 | 9% |
| Other | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 26% |
| Computer Science | 6 | 26% |
| Business, Management and Accounting | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 7 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 24 March 2023.
All research outputs
#7,571,554
of 24,356,663 outputs
Outputs from The Journal of Supercomputing
#108
of 548 outputs
Outputs of similar age
#129,351
of 353,994 outputs
Outputs of similar age from The Journal of Supercomputing
#2
of 7 outputs
Altmetric has tracked 24,356,663 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 548 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 79% 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 353,994 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.