| Title |
Intelligent stock trading system with price trend prediction and reversal recognition using dual-module neural networks
|
|---|---|
| Published in |
Applied Intelligence, September 1993
|
| DOI | 10.1007/bf00871939 |
| Authors |
Gia-Shuh Jang, Feipei Lai, Bor-Wei Jiang, Tai-Ming Parng, Li-Hua Chien |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 4% |
| Turkey | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 22 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 24% |
| Student > Doctoral Student | 4 | 16% |
| Student > Ph. D. Student | 4 | 16% |
| Researcher | 3 | 12% |
| Other | 2 | 8% |
| Other | 4 | 16% |
| Unknown | 2 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 36% |
| Economics, Econometrics and Finance | 4 | 16% |
| Engineering | 3 | 12% |
| Business, Management and Accounting | 3 | 12% |
| Mathematics | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 2 | 8% |
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 18 May 2000.
All research outputs
#7,568,674
of 23,083,773 outputs
Outputs from Applied Intelligence
#70
of 1,698 outputs
Outputs of similar age
#5,901
of 20,244 outputs
Outputs of similar age from Applied Intelligence
#1
of 1 outputs
Altmetric has tracked 23,083,773 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 1,698 research outputs from this source. They receive a mean Attention Score of 1.0. This one has done particularly well, scoring higher than 90% 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 20,244 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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