| Title |
On modeling blockchain-enabled economic networks as stochastic dynamical systems
|
|---|---|
| Published in |
Applied Network Science, March 2020
|
| DOI | 10.1007/s41109-020-0254-9 |
| Authors |
Zixuan Zhang, Michael Zargham, Victor M. Preciado |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Canada | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 18% |
| Professor | 6 | 12% |
| Researcher | 5 | 10% |
| Student > Master | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Other | 7 | 14% |
| Unknown | 13 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 20% |
| Engineering | 7 | 14% |
| Business, Management and Accounting | 6 | 12% |
| Economics, Econometrics and Finance | 5 | 10% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 18 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 10 March 2023.
All research outputs
#8,572,211
of 25,460,914 outputs
Outputs from Applied Network Science
#253
of 582 outputs
Outputs of similar age
#160,774
of 391,824 outputs
Outputs of similar age from Applied Network Science
#7
of 10 outputs
Altmetric has tracked 25,460,914 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 582 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has gotten more attention than average, scoring higher than 55% 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 391,824 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 53% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.