| Title |
Using correlated stochastic differential equations to forecast cryptocurrency rates and social media activities
|
|---|---|
| Published in |
Applied Network Science, March 2020
|
| DOI | 10.1007/s41109-020-00259-1 |
| Authors |
Stephen Dipple, Abhishek Choudhary, James Flamino, Boleslaw K. Szymanski, G. Korniss |
X Demographics
The data shown below were collected from the profiles of 4 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 | 3 | 75% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 15% |
| Student > Ph. D. Student | 5 | 10% |
| Lecturer | 5 | 10% |
| Student > Bachelor | 3 | 6% |
| Professor | 3 | 6% |
| Other | 7 | 15% |
| Unknown | 18 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 7 | 15% |
| Computer Science | 5 | 10% |
| Business, Management and Accounting | 4 | 8% |
| Mathematics | 4 | 8% |
| Linguistics | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 21 | 44% |
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 05 April 2023.
All research outputs
#13,145,388
of 23,524,722 outputs
Outputs from Applied Network Science
#235
of 513 outputs
Outputs of similar age
#164,827
of 365,204 outputs
Outputs of similar age from Applied Network Science
#8
of 12 outputs
Altmetric has tracked 23,524,722 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 513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has gotten more attention than average, scoring higher than 52% 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 365,204 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 54% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.