| Title |
Markov processes in blockchain systems
|
|---|---|
| Published in |
Computational Social Networks, July 2019
|
| DOI | 10.1186/s40649-019-0066-1 |
| Authors |
Quan-Lin Li, Jing-Yu Ma, Yan-Xia Chang, Fan-Qi Ma, Hai-Bo Yu |
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 % |
|---|---|---|
| Curaçao | 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 22% |
| Student > Master | 9 | 11% |
| Student > Bachelor | 9 | 11% |
| Researcher | 7 | 9% |
| Student > Doctoral Student | 3 | 4% |
| Other | 11 | 14% |
| Unknown | 24 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 23% |
| Engineering | 13 | 16% |
| Business, Management and Accounting | 6 | 7% |
| Economics, Econometrics and Finance | 6 | 7% |
| Mathematics | 2 | 2% |
| Other | 7 | 9% |
| Unknown | 28 | 35% |
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 05 November 2023.
All research outputs
#14,766,324
of 24,752,948 outputs
Outputs from Computational Social Networks
#18
of 40 outputs
Outputs of similar age
#180,363
of 353,680 outputs
Outputs of similar age from Computational Social Networks
#1
of 1 outputs
Altmetric has tracked 24,752,948 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 40 research outputs from this source. They receive a mean Attention Score of 3.9. This one scored the same or higher as 22 of them.
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 353,680 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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