Title |
Short-term stock market price trend prediction using a comprehensive deep learning system
|
---|---|
Published in |
Journal of Big Data, August 2020
|
DOI | 10.1186/s40537-020-00333-6 |
Pubmed ID | |
Authors |
Jingyi Shen, M. Omair Shafiq |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Nepal | 1 | 9% |
United States | 1 | 9% |
France | 1 | 9% |
Netherlands | 1 | 9% |
Unknown | 7 | 64% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 514 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 514 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 57 | 11% |
Student > Ph. D. Student | 42 | 8% |
Student > Bachelor | 24 | 5% |
Lecturer | 21 | 4% |
Researcher | 20 | 4% |
Other | 64 | 12% |
Unknown | 286 | 56% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 96 | 19% |
Engineering | 34 | 7% |
Business, Management and Accounting | 26 | 5% |
Economics, Econometrics and Finance | 23 | 4% |
Unspecified | 14 | 3% |
Other | 34 | 7% |
Unknown | 287 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 91. 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 30 June 2023.
All research outputs
#455,935
of 24,973,800 outputs
Outputs from Journal of Big Data
#8
of 378 outputs
Outputs of similar age
#13,625
of 405,688 outputs
Outputs of similar age from Journal of Big Data
#2
of 21 outputs
Altmetric has tracked 24,973,800 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 378 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done particularly well, scoring higher than 98% 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 405,688 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 96% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.