| Title |
Predicting the daily return direction of the stock market using hybrid machine learning algorithms
|
|---|---|
| Published in |
Financial Innovation, June 2019
|
| DOI | 10.1186/s40854-019-0138-0 |
| Authors |
Xiao Zhong, David Enke |
Mendeley readers
The data shown below were compiled from readership statistics for 327 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 327 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 11% |
| Student > Master | 26 | 8% |
| Student > Bachelor | 22 | 7% |
| Researcher | 19 | 6% |
| Lecturer | 15 | 5% |
| Other | 54 | 17% |
| Unknown | 155 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 63 | 19% |
| Economics, Econometrics and Finance | 33 | 10% |
| Business, Management and Accounting | 32 | 10% |
| Unspecified | 8 | 2% |
| Engineering | 7 | 2% |
| Other | 19 | 6% |
| Unknown | 165 | 50% |
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 31 August 2023.
All research outputs
#8,252,517
of 24,717,692 outputs
Outputs from Financial Innovation
#58
of 184 outputs
Outputs of similar age
#140,647
of 357,960 outputs
Outputs of similar age from Financial Innovation
#4
of 5 outputs
Altmetric has tracked 24,717,692 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 184 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 66% 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 357,960 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 5 others from the same source and published within six weeks on either side of this one.