| Title |
Selecting critical features for data classification based on machine learning methods
|
|---|---|
| Published in |
Journal of Big Data, July 2020
|
| DOI | 10.1186/s40537-020-00327-4 |
| Authors |
Rung-Ching Chen, Christine Dewi, Su-Wen Huang, Rezzy Eko Caraka |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 764 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 764 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 83 | 11% |
| Student > Ph. D. Student | 77 | 10% |
| Student > Bachelor | 41 | 5% |
| Lecturer | 39 | 5% |
| Researcher | 35 | 5% |
| Other | 88 | 12% |
| Unknown | 401 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 130 | 17% |
| Engineering | 75 | 10% |
| Unspecified | 14 | 2% |
| Agricultural and Biological Sciences | 14 | 2% |
| Environmental Science | 12 | 2% |
| Other | 106 | 14% |
| Unknown | 413 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 04 July 2021.
All research outputs
#14,062,102
of 23,308,124 outputs
Outputs from Journal of Big Data
#178
of 351 outputs
Outputs of similar age
#210,249
of 400,208 outputs
Outputs of similar age from Journal of Big Data
#12
of 21 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 351 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 48th percentile – i.e., 48% 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 400,208 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
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 is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.