| Title |
Forecasting and trading cryptocurrencies with machine learning under changing market conditions
|
|---|---|
| Published in |
Financial Innovation, January 2021
|
| DOI | 10.1186/s40854-020-00217-x |
| Pubmed ID | |
| Authors |
Helder Sebastião, Pedro Godinho |
X Demographics
The data shown below were collected from the profiles of 9 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 | 2 | 22% |
| China | 1 | 11% |
| Canada | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 89% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 259 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 259 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 10% |
| Student > Bachelor | 19 | 7% |
| Student > Master | 18 | 7% |
| Lecturer | 13 | 5% |
| Professor | 11 | 4% |
| Other | 41 | 16% |
| Unknown | 132 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 30 | 12% |
| Business, Management and Accounting | 27 | 10% |
| Economics, Econometrics and Finance | 19 | 7% |
| Engineering | 18 | 7% |
| Social Sciences | 6 | 2% |
| Other | 25 | 10% |
| Unknown | 134 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 03 April 2024.
All research outputs
#1,721,219
of 25,837,817 outputs
Outputs from Financial Innovation
#14
of 255 outputs
Outputs of similar age
#46,868
of 530,660 outputs
Outputs of similar age from Financial Innovation
#1
of 8 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 255 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 94% 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 530,660 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 8 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