| Title |
Deep learning enhancing banking services: a hybrid transaction classification and cash flow prediction approach
|
|---|---|
| Published in |
Journal of Big Data, October 2022
|
| DOI | 10.1186/s40537-022-00651-x |
| Pubmed ID | |
| Authors |
Dimitrios Kotios, Georgios Makridis, Georgios Fatouros, Dimosthenis Kyriazis |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 6 | 7% |
| Student > Master | 5 | 6% |
| Student > Ph. D. Student | 5 | 6% |
| Lecturer | 4 | 5% |
| Student > Bachelor | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 50 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 6 | 7% |
| Computer Science | 6 | 7% |
| Business, Management and Accounting | 4 | 5% |
| Economics, Econometrics and Finance | 4 | 5% |
| Engineering | 3 | 4% |
| Other | 7 | 9% |
| Unknown | 51 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 October 2022.
All research outputs
#18,951,048
of 23,482,849 outputs
Outputs from Journal of Big Data
#268
of 355 outputs
Outputs of similar age
#307,318
of 442,054 outputs
Outputs of similar age from Journal of Big Data
#2
of 3 outputs
Altmetric has tracked 23,482,849 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 355 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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 442,054 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.